Face Generation

In this project, you'll use generative adversarial networks to generate new images of faces.

Get the Data

You'll be using two datasets in this project:

  • MNIST
  • CelebA

Since the celebA dataset is complex and you're doing GANs in a project for the first time, we want you to test your neural network on MNIST before CelebA. Running the GANs on MNIST will allow you to see how well your model trains sooner.

If you're using FloydHub, set data_dir to "/input" and use the FloydHub data ID "R5KrjnANiKVhLWAkpXhNBe".

In [1]:
data_dir = './data'

# FloydHub - Use with data ID "R5KrjnANiKVhLWAkpXhNBe"
#data_dir = '/input'

import pickle as pkl

"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
import helper

helper.download_extract('mnist', data_dir)
helper.download_extract('celeba', data_dir)
Found mnist Data
Found celeba Data

Explore the Data

MNIST

As you're aware, the MNIST dataset contains images of handwritten digits. You can view the first number of examples by changing show_n_images.

In [2]:
show_n_images = 25

"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
%matplotlib inline
import os
from glob import glob
from matplotlib import pyplot

mnist_images = helper.get_batch(glob(os.path.join(data_dir, 'mnist/*.jpg'))[:show_n_images], 28, 28, 'L')
pyplot.imshow(helper.images_square_grid(mnist_images, 'L'), cmap='gray')
Out[2]:
<matplotlib.image.AxesImage at 0x1b2f1ec8358>

CelebA

The CelebFaces Attributes Dataset (CelebA) dataset contains over 200,000 celebrity images with annotations. Since you're going to be generating faces, you won't need the annotations. You can view the first number of examples by changing show_n_images.

In [3]:
show_n_images = 25

"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
mnist_images = helper.get_batch(glob(os.path.join(data_dir, 'img_align_celeba/*.jpg'))[:show_n_images], 28, 28, 'RGB')
pyplot.imshow(helper.images_square_grid(mnist_images, 'RGB'))
Out[3]:
<matplotlib.image.AxesImage at 0x1b2f1fe8080>

Preprocess the Data

Since the project's main focus is on building the GANs, we'll preprocess the data for you. The values of the MNIST and CelebA dataset will be in the range of -0.5 to 0.5 of 28x28 dimensional images. The CelebA images will be cropped to remove parts of the image that don't include a face, then resized down to 28x28.

The MNIST images are black and white images with a single color channel while the CelebA images have 3 color channels (RGB color channel).

Build the Neural Network

You'll build the components necessary to build a GANs by implementing the following functions below:

  • model_inputs
  • discriminator
  • generator
  • model_loss
  • model_opt
  • train

Check the Version of TensorFlow and Access to GPU

This will check to make sure you have the correct version of TensorFlow and access to a GPU

In [4]:
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
from distutils.version import LooseVersion
import warnings
import tensorflow as tf

# Check TensorFlow Version
assert LooseVersion(tf.__version__) >= LooseVersion('1.0'), 'Please use TensorFlow version 1.0 or newer.  You are using {}'.format(tf.__version__)
print('TensorFlow Version: {}'.format(tf.__version__))

# Check for a GPU
if not tf.test.gpu_device_name():
    warnings.warn('No GPU found. Please use a GPU to train your neural network.')
else:
    print('Default GPU Device: {}'.format(tf.test.gpu_device_name()))
TensorFlow Version: 1.5.0
Default GPU Device: /device:GPU:0

Input

Implement the model_inputs function to create TF Placeholders for the Neural Network. It should create the following placeholders:

  • Real input images placeholder with rank 4 using image_width, image_height, and image_channels.
  • Z input placeholder with rank 2 using z_dim.
  • Learning rate placeholder with rank 0.

Return the placeholders in the following the tuple (tensor of real input images, tensor of z data)

In [5]:
import problem_unittests as tests
import tensorflow as tf

# Rank means t
def model_inputs(image_width, image_height, image_channels, z_dim):
    """
    Create the model inputs
    :param image_width: The input image width
    :param image_height: The input image height
    :param image_channels: The number of image channels
    :param z_dim: The dimension of Z
    :return: Tuple of (tensor of real input images, tensor of z data, learning rate)
    """
    # TODO: Implement Function
    input_real = tf.placeholder(tf.float32, (None, image_width, image_height, image_channels), name="input_real")
    input_z = tf.placeholder(tf.float32, (None, z_dim), name="input_z")
    learning_rate = tf.placeholder(tf.float32, [], name="learning_rate")
    
    return input_real, input_z, learning_rate

"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_model_inputs(model_inputs)
Tests Passed

Discriminator

Implement discriminator to create a discriminator neural network that discriminates on images. This function should be able to reuse the variables in the neural network. Use tf.variable_scope with a scope name of "discriminator" to allow the variables to be reused. The function should return a tuple of (tensor output of the discriminator, tensor logits of the discriminator).

In [6]:
def discriminator(images, reuse=False):
    """
    Create the discriminator network
    :param images: Tensor of input image(s)
    :param reuse: Boolean if the weights should be reused
    :return: Tuple of (tensor output of the discriminator, tensor logits of the discriminator)
    """
    # TODO: Implement Function
    
    # Drop out rate
    drop_rate = 0.1
    # Alpha rate for leaky relu
    alpha = 0.2
    kernel_size = 3
    
    n_units = 128
    size_mult = 64
    x = images    
    
    with tf.variable_scope("discriminator", reuse=reuse):
        
        x1 = tf.layers.conv2d(x, size_mult, kernel_size, strides=2, padding='same')
        dropout1 = tf.layers.dropout(x1, rate=drop_rate)
        relu1 = tf.maximum(alpha * dropout1, dropout1)
        
        x2 = tf.layers.conv2d(relu1, size_mult * 2, kernel_size, strides=2, padding='same')
        bn2 = tf.layers.batch_normalization(x2, training=True)
        dropout2 = tf.layers.dropout(bn2, rate=drop_rate)
        relu2 = tf.maximum(alpha * dropout2, dropout2)
      
        x3 = tf.layers.conv2d(relu2, size_mult * 4, kernel_size, strides=2, padding='same')
        bn3 = tf.layers.batch_normalization(x3, training=True)
        relu3 = tf.maximum(alpha * bn3, bn3)

        # Flattening conv layer  
        features = tf.reshape(relu3, [-1, 4 * 4 * 256])
        
        # Set class_logits to be the inputs to a softmax distribution over the different classes
        class_logits = tf.layers.dense(features, 1, activation=None)
        
        # Sigmoid and not softmax. Sigmoid because only 2 classes.
        out = tf.nn.sigmoid(class_logits)
        
    return out, class_logits


"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_discriminator(discriminator, tf)
Tests Passed

Generator

Implement generator to generate an image using z. This function should be able to reuse the variables in the neural network. Use tf.variable_scope with a scope name of "generator" to allow the variables to be reused. The function should return the generated 28 x 28 x out_channel_dim images.

In [7]:
def generator(z, out_channel_dim, is_train=True):
    """
    Create the generator network
    :param z: Input z
    :param out_channel_dim: The number of channels in the output image
    :param is_train: Boolean if generator is being used for training
    :return: The tensor output of the generator
    """
    # TODO: Implement Function
    
    reuse = not is_train
    alpha = 0.2
    n_units = 128
    kernel = 5
    stride = 2
    
    with tf.variable_scope("generator", reuse=reuse):
        
        # fully connected layer
        fc = tf.layers.dense(z, 2 * 2 * n_units * 4, activation=None)
        x1 = tf.reshape(fc, [-1, 2, 2, n_units * 4])   
        x1 = tf.layers.batch_normalization(x1, training=is_train)
        x1 = tf.maximum(alpha * x1, x1)
        
        x2 = tf.layers.conv2d_transpose(x1, n_units * 2, kernel, strides = stride, padding="valid")
        x2 = tf.layers.batch_normalization(x2, training=is_train)
        x2 = tf.maximum(alpha * x2, x2)

        x3 = tf.layers.conv2d_transpose(x2, n_units, kernel, stride, padding="same")
        x3 = tf.layers.batch_normalization(x3, training=is_train)
        x3 = tf.maximum(alpha * x3, x3)
        
        # Output layer
        logits = tf.layers.conv2d_transpose(x3, out_channel_dim, kernel, strides=stride, padding="same")
        
        out = tf.tanh(logits)

        
    return out


"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_generator(generator, tf)
Tests Passed

Loss

Implement model_loss to build the GANs for training and calculate the loss. The function should return a tuple of (discriminator loss, generator loss). Use the following functions you implemented:

  • discriminator(images, reuse=False)
  • generator(z, out_channel_dim, is_train=True)
In [8]:
def model_loss(input_real, input_z, out_channel_dim):
    """
    Get the loss for the discriminator and generator
    :param input_real: Images from the real dataset
    :param input_z: Z input
    :param out_channel_dim: The number of channels in the output image
    :return: A tuple of (discriminator loss, generator loss)
    """
    # TODO: Implement Function
    g_model = generator(input_z, out_channel_dim)
    
    d_model_real, d_logits_real = discriminator(input_real)
    d_model_fake, d_logits_fake = discriminator(g_model, reuse=True)
    
    # discriminator loss for the reals
    d_loss_real = tf.reduce_mean(
        tf.nn.sigmoid_cross_entropy_with_logits(
            logits=d_logits_real, 
            labels=tf.ones_like(d_model_real)
        )
    )
    
    # Discriminator loss for the fakes
    d_loss_fake = tf.reduce_mean(
        tf.nn.sigmoid_cross_entropy_with_logits(
            logits=d_logits_fake,
            labels=tf.zeros_like(d_model_fake)
        )
    )
    
    # Summing the discriminator loss for reals and fake
    total_d_loss = d_loss_real + d_loss_fake
    
    # Generator loss
    g_loss = tf.reduce_mean(
        tf.nn.sigmoid_cross_entropy_with_logits(
            logits=d_logits_fake, 
            labels=tf.ones_like(d_model_fake)
        )
    )
    
    return total_d_loss, g_loss


"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_model_loss(model_loss)
Tests Passed

Optimization

Implement model_opt to create the optimization operations for the GANs. Use tf.trainable_variables to get all the trainable variables. Filter the variables with names that are in the discriminator and generator scope names. The function should return a tuple of (discriminator training operation, generator training operation).

In [9]:
def model_opt(d_loss, g_loss, learning_rate, beta1):
    """
    Get optimization operations
    :param d_loss: Discriminator loss Tensor
    :param g_loss: Generator loss Tensor
    :param learning_rate: Learning Rate Placeholder
    :param beta1: The exponential decay rate for the 1st moment in the optimizer
    :return: A tuple of (discriminator training operation, generator training operation)
    """
    # TODO: Implement Function
        
    # NN vars
    disc_vars = tf.trainable_variables("discriminator")
    gen_vars = tf.trainable_variables("generator")

    # Optimize 
    disc_trained = tf.train.AdamOptimizer(learning_rate, beta1).minimize(d_loss, var_list = disc_vars)
        
    updates = tf.get_collection(tf.GraphKeys.UPDATE_OPS)
    g_updates = [opt for opt in updates if opt.name.startswith("generator")]
    with tf.control_dependencies(tf.get_collection(tf.GraphKeys.UPDATE_OPS)):
        g_train_opt = tf.train.AdamOptimizer(learning_rate, beta1=beta1).minimize(g_loss, var_list=gen_vars)
    
    d_train_opt = disc_trained
    
    return d_train_opt, g_train_opt


"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_model_opt(model_opt, tf)
Tests Passed

Neural Network Training

Show Output

Use this function to show the current output of the generator during training. It will help you determine how well the GANs is training.

In [10]:
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
import numpy as np

def show_generator_output(sess, n_images, input_z, out_channel_dim, image_mode):
    """
    Show example output for the generator
    :param sess: TensorFlow session
    :param n_images: Number of Images to display
    :param input_z: Input Z Tensor
    :param out_channel_dim: The number of channels in the output image
    :param image_mode: The mode to use for images ("RGB" or "L")
    """
    cmap = None if image_mode == 'RGB' else 'gray'
    z_dim = input_z.get_shape().as_list()[-1]
    example_z = np.random.uniform(-1, 1, size=[n_images, z_dim])

    samples = sess.run(
        generator(input_z, out_channel_dim, False),
        feed_dict={input_z: example_z})

    images_grid = helper.images_square_grid(samples, image_mode)
    pyplot.imshow(images_grid, cmap=cmap)
    pyplot.show()

Train

Implement train to build and train the GANs. Use the following functions you implemented:

  • model_inputs(image_width, image_height, image_channels, z_dim)
  • model_loss(input_real, input_z, out_channel_dim)
  • model_opt(d_loss, g_loss, learning_rate, beta1)

Use the show_generator_output to show generator output while you train. Running show_generator_output for every batch will drastically increase training time and increase the size of the notebook. It's recommended to print the generator output every 100 batches.

In [11]:
import time

def train(epoch_count, batch_size, z_dim, learning_rate, beta1, get_batches, data_shape, data_image_mode):
    """
    Train the GAN
    :param epoch_count: Number of epochs
    :param batch_size: Batch Size
    :param z_dim: Z dimension
    :param learning_rate: Learning Rate
    :param beta1: The exponential decay rate for the 1st moment in the optimizer
    :param get_batches: Function to get batches
    :param data_shape: Shape of the data
    :param data_image_mode: The image mode to use for images ("RGB" or "L")
    """
    # TODO: Build Model
    #saver = tf.train.Saver()
    sample_z = np.random.normal(-0.8, 1, size=(batch_size, z_dim))

    samples, train_accuracies, test_accuracies = [], [], []
    steps = 0    
    
    print_every = 10
    show_every = 40
    images_to_show = 25
    
    print(data_shape)
    width, height, channels = data_shape[1:]
    print("width: {}, height: {}, channels: {}".format(width, height, channels))
    print("Channel mode: {}".format(data_image_mode))
    
    
    # Getting the variables required for training 
    input_real, input_z, some_learning_rate = model_inputs(width, height, channels, z_dim)
    
    # Should use the channel mode to calculate the channels but using the number of channels works too
    d_loss, g_loss = model_loss(input_real, input_z, channels)
    
    # Optimization
    d_train_opt, g_train_opt = model_opt(d_loss, g_loss, learning_rate, beta1)
    
    with tf.Session() as sess:
        sess.run(tf.global_variables_initializer())
        for e in range(epoch_count):
            for batch_images in get_batches(batch_size):
                # TODO: Train Model
                            
                batch_images *= 2.0
                    
                steps += 1
                
                # Sample random noise for G
                batch_z = np.random.uniform(-0.8, 1, size=(batch_size, z_dim))
                
                # Run the optimizer for discriminator
                _ = sess.run(
                    d_train_opt, 
                    feed_dict={
                        input_real: batch_images, 
                        input_z: batch_z,
                        some_learning_rate:learning_rate
                    }
                )
                
                # Run the optimizer for the generator
                _ = sess.run(
                    g_train_opt,
                    feed_dict={
                        input_z: batch_z, 
                        input_real: batch_images,
                        some_learning_rate:learning_rate
                    }
                )
                
                # Print out the losses
                if steps % print_every == 0:
                    train_loss_d = d_loss.eval({
                        input_real: batch_images,
                        input_z: batch_z
                    })
                    train_loss_g = g_loss.eval({
                        input_z: batch_z, 
                        input_real: batch_images
                    })
                    print("Epoch {}/{}...".format(e+1, epochs),
                          "Discriminator Loss: {:.4f}...".format(train_loss_d),
                          "Generator Loss: {:.4f}".format(train_loss_g))
                
                # Show the generator output
                if steps % show_every == 0:
                    show_generator_output(
                        sess,
                        images_to_show,
                        input_z, 
                        channels,
                        data_image_mode
                    )
        #saver.save(sess, './checkpoints/generator.ckpt')

    with open('samples.pkl', 'wb') as f:
        pkl.dump(samples, f)
            

MNIST

Test your GANs architecture on MNIST. After 2 epochs, the GANs should be able to generate images that look like handwritten digits. Make sure the loss of the generator is lower than the loss of the discriminator or close to 0.

In [12]:
batch_size = 64
z_dim = 110
learning_rate = 0.0008
beta1 = 0.5


"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
epochs = 5

mnist_dataset = helper.Dataset('mnist', glob(os.path.join(data_dir, 'mnist/*.jpg')))
with tf.Graph().as_default():
    train(epochs, batch_size, z_dim, learning_rate, beta1, mnist_dataset.get_batches,
          mnist_dataset.shape, mnist_dataset.image_mode)
(60000, 28, 28, 1)
width: 28, height: 28, channels: 1
Channel mode: L
Epoch 1/5... Discriminator Loss: 2.5061... Generator Loss: 0.0949
Epoch 1/5... Discriminator Loss: 0.7289... Generator Loss: 11.4860
Epoch 1/5... Discriminator Loss: 0.6064... Generator Loss: 11.7913
Epoch 1/5... Discriminator Loss: 0.8545... Generator Loss: 6.8461
Epoch 1/5... Discriminator Loss: 1.6678... Generator Loss: 0.4774
Epoch 1/5... Discriminator Loss: 1.5918... Generator Loss: 0.8431
Epoch 1/5... Discriminator Loss: 1.2070... Generator Loss: 1.2109
Epoch 1/5... Discriminator Loss: 0.2386... Generator Loss: 2.4737
Epoch 1/5... Discriminator Loss: 0.5014... Generator Loss: 1.5556
Epoch 1/5... Discriminator Loss: 0.1111... Generator Loss: 6.0760
Epoch 1/5... Discriminator Loss: 0.3731... Generator Loss: 3.0064
Epoch 1/5... Discriminator Loss: 0.1687... Generator Loss: 2.5818
Epoch 1/5... Discriminator Loss: 0.0816... Generator Loss: 3.7360
Epoch 1/5... Discriminator Loss: 0.1233... Generator Loss: 3.5427
Epoch 1/5... Discriminator Loss: 0.2585... Generator Loss: 9.3748
Epoch 1/5... Discriminator Loss: 0.0936... Generator Loss: 5.2855
Epoch 1/5... Discriminator Loss: 0.4858... Generator Loss: 2.8531
Epoch 1/5... Discriminator Loss: 0.2202... Generator Loss: 2.1590
Epoch 1/5... Discriminator Loss: 0.2927... Generator Loss: 2.6410
Epoch 1/5... Discriminator Loss: 0.1143... Generator Loss: 4.6711
Epoch 1/5... Discriminator Loss: 0.2477... Generator Loss: 2.0581
Epoch 1/5... Discriminator Loss: 0.0718... Generator Loss: 3.8452
Epoch 1/5... Discriminator Loss: 0.0637... Generator Loss: 5.6917
Epoch 1/5... Discriminator Loss: 0.1317... Generator Loss: 3.1231
Epoch 1/5... Discriminator Loss: 0.0918... Generator Loss: 3.9690
Epoch 1/5... Discriminator Loss: 0.0985... Generator Loss: 3.2875
Epoch 1/5... Discriminator Loss: 0.1102... Generator Loss: 3.0691
Epoch 1/5... Discriminator Loss: 0.2454... Generator Loss: 2.9797
Epoch 1/5... Discriminator Loss: 0.2844... Generator Loss: 2.1529
Epoch 1/5... Discriminator Loss: 0.0712... Generator Loss: 3.9880
Epoch 1/5... Discriminator Loss: 0.1120... Generator Loss: 3.4700
Epoch 1/5... Discriminator Loss: 0.0386... Generator Loss: 5.8994
Epoch 1/5... Discriminator Loss: 0.2056... Generator Loss: 2.4608
Epoch 1/5... Discriminator Loss: 0.3269... Generator Loss: 2.9654
Epoch 1/5... Discriminator Loss: 0.1079... Generator Loss: 5.9295
Epoch 1/5... Discriminator Loss: 0.1029... Generator Loss: 3.4896
Epoch 1/5... Discriminator Loss: 0.0634... Generator Loss: 3.1949
Epoch 1/5... Discriminator Loss: 0.2055... Generator Loss: 2.8420
Epoch 1/5... Discriminator Loss: 0.1073... Generator Loss: 5.6594
Epoch 1/5... Discriminator Loss: 0.2771... Generator Loss: 2.7230
Epoch 1/5... Discriminator Loss: 0.3435... Generator Loss: 1.9053
Epoch 1/5... Discriminator Loss: 0.5051... Generator Loss: 4.9435
Epoch 1/5... Discriminator Loss: 0.2506... Generator Loss: 3.7587
Epoch 1/5... Discriminator Loss: 0.1737... Generator Loss: 3.5117
Epoch 1/5... Discriminator Loss: 0.2277... Generator Loss: 5.0862
Epoch 1/5... Discriminator Loss: 0.4665... Generator Loss: 6.4195
Epoch 1/5... Discriminator Loss: 0.2358... Generator Loss: 3.1774
Epoch 1/5... Discriminator Loss: 0.1822... Generator Loss: 2.7666
Epoch 1/5... Discriminator Loss: 0.1063... Generator Loss: 4.3573
Epoch 1/5... Discriminator Loss: 0.4657... Generator Loss: 1.4211
Epoch 1/5... Discriminator Loss: 0.1212... Generator Loss: 3.0654
Epoch 1/5... Discriminator Loss: 0.1675... Generator Loss: 3.8217
Epoch 1/5... Discriminator Loss: 0.1260... Generator Loss: 3.9707
Epoch 1/5... Discriminator Loss: 0.1824... Generator Loss: 3.6033
Epoch 1/5... Discriminator Loss: 0.0839... Generator Loss: 5.9632
Epoch 1/5... Discriminator Loss: 0.5588... Generator Loss: 1.9776
Epoch 1/5... Discriminator Loss: 0.1977... Generator Loss: 2.9704
Epoch 1/5... Discriminator Loss: 0.1551... Generator Loss: 2.8427
Epoch 1/5... Discriminator Loss: 0.1474... Generator Loss: 3.1154
Epoch 1/5... Discriminator Loss: 0.1697... Generator Loss: 5.3170
Epoch 1/5... Discriminator Loss: 0.1375... Generator Loss: 5.1710
Epoch 1/5... Discriminator Loss: 0.0823... Generator Loss: 3.6045
Epoch 1/5... Discriminator Loss: 0.4508... Generator Loss: 1.4616
Epoch 1/5... Discriminator Loss: 0.3528... Generator Loss: 1.7107
Epoch 1/5... Discriminator Loss: 1.6173... Generator Loss: 0.4075
Epoch 1/5... Discriminator Loss: 0.2362... Generator Loss: 4.9127
Epoch 1/5... Discriminator Loss: 0.0983... Generator Loss: 5.2117
Epoch 1/5... Discriminator Loss: 0.3760... Generator Loss: 4.3034
Epoch 1/5... Discriminator Loss: 0.1218... Generator Loss: 3.9245
Epoch 1/5... Discriminator Loss: 0.2524... Generator Loss: 3.0006
Epoch 1/5... Discriminator Loss: 0.2182... Generator Loss: 2.9838
Epoch 1/5... Discriminator Loss: 0.1188... Generator Loss: 3.8241
Epoch 1/5... Discriminator Loss: 4.2025... Generator Loss: 11.1787
Epoch 1/5... Discriminator Loss: 0.2188... Generator Loss: 4.9923
Epoch 1/5... Discriminator Loss: 0.2530... Generator Loss: 3.5335
Epoch 1/5... Discriminator Loss: 0.3281... Generator Loss: 2.5553
Epoch 1/5... Discriminator Loss: 0.3716... Generator Loss: 3.5506
Epoch 1/5... Discriminator Loss: 0.5481... Generator Loss: 1.2563
Epoch 1/5... Discriminator Loss: 0.6798... Generator Loss: 1.4433
Epoch 1/5... Discriminator Loss: 0.4964... Generator Loss: 1.8804
Epoch 1/5... Discriminator Loss: 0.4077... Generator Loss: 2.9343
Epoch 1/5... Discriminator Loss: 0.2127... Generator Loss: 4.5911
Epoch 1/5... Discriminator Loss: 0.5215... Generator Loss: 1.6983
Epoch 1/5... Discriminator Loss: 0.9218... Generator Loss: 3.6926
Epoch 1/5... Discriminator Loss: 0.3782... Generator Loss: 2.4967
Epoch 1/5... Discriminator Loss: 1.0492... Generator Loss: 0.7023
Epoch 1/5... Discriminator Loss: 0.3726... Generator Loss: 2.1718
Epoch 1/5... Discriminator Loss: 0.4859... Generator Loss: 1.6002
Epoch 1/5... Discriminator Loss: 0.3187... Generator Loss: 2.9854
Epoch 1/5... Discriminator Loss: 0.4261... Generator Loss: 2.2216
Epoch 1/5... Discriminator Loss: 1.0142... Generator Loss: 1.0020
Epoch 1/5... Discriminator Loss: 0.7548... Generator Loss: 2.5893
Epoch 1/5... Discriminator Loss: 1.4665... Generator Loss: 5.3923
Epoch 2/5... Discriminator Loss: 0.4061... Generator Loss: 1.9731
Epoch 2/5... Discriminator Loss: 0.3928... Generator Loss: 3.3500
Epoch 2/5... Discriminator Loss: 0.5702... Generator Loss: 1.5088
Epoch 2/5... Discriminator Loss: 0.3717... Generator Loss: 2.2219
Epoch 2/5... Discriminator Loss: 0.3682... Generator Loss: 2.5928
Epoch 2/5... Discriminator Loss: 0.3532... Generator Loss: 2.4388
Epoch 2/5... Discriminator Loss: 0.4183... Generator Loss: 2.1497
Epoch 2/5... Discriminator Loss: 0.4589... Generator Loss: 1.6359
Epoch 2/5... Discriminator Loss: 0.4107... Generator Loss: 2.0075
Epoch 2/5... Discriminator Loss: 0.2898... Generator Loss: 3.0964
Epoch 2/5... Discriminator Loss: 0.9013... Generator Loss: 0.8378
Epoch 2/5... Discriminator Loss: 1.1485... Generator Loss: 0.7322
Epoch 2/5... Discriminator Loss: 0.7049... Generator Loss: 2.6993
Epoch 2/5... Discriminator Loss: 0.5593... Generator Loss: 1.6247
Epoch 2/5... Discriminator Loss: 0.9653... Generator Loss: 0.7762
Epoch 2/5... Discriminator Loss: 0.7825... Generator Loss: 1.0154
Epoch 2/5... Discriminator Loss: 0.5472... Generator Loss: 1.3831
Epoch 2/5... Discriminator Loss: 0.7484... Generator Loss: 3.2576
Epoch 2/5... Discriminator Loss: 0.7795... Generator Loss: 1.1746
Epoch 2/5... Discriminator Loss: 0.4270... Generator Loss: 2.1552
Epoch 2/5... Discriminator Loss: 0.4494... Generator Loss: 2.3452
Epoch 2/5... Discriminator Loss: 0.7473... Generator Loss: 1.5087
Epoch 2/5... Discriminator Loss: 0.6324... Generator Loss: 1.7961
Epoch 2/5... Discriminator Loss: 0.4586... Generator Loss: 1.8682
Epoch 2/5... Discriminator Loss: 0.5632... Generator Loss: 1.2837
Epoch 2/5... Discriminator Loss: 0.8153... Generator Loss: 3.7076
Epoch 2/5... Discriminator Loss: 0.4904... Generator Loss: 1.3557
Epoch 2/5... Discriminator Loss: 0.4775... Generator Loss: 2.2471
Epoch 2/5... Discriminator Loss: 0.4169... Generator Loss: 1.9445
Epoch 2/5... Discriminator Loss: 0.5834... Generator Loss: 2.0349
Epoch 2/5... Discriminator Loss: 0.8730... Generator Loss: 3.6488
Epoch 2/5... Discriminator Loss: 1.9688... Generator Loss: 4.8479
Epoch 2/5... Discriminator Loss: 0.6570... Generator Loss: 1.4207
Epoch 2/5... Discriminator Loss: 0.5277... Generator Loss: 1.5244
Epoch 2/5... Discriminator Loss: 0.5535... Generator Loss: 1.2490
Epoch 2/5... Discriminator Loss: 0.5981... Generator Loss: 1.4057
Epoch 2/5... Discriminator Loss: 0.5965... Generator Loss: 2.5565
Epoch 2/5... Discriminator Loss: 0.5457... Generator Loss: 1.3611
Epoch 2/5... Discriminator Loss: 0.7868... Generator Loss: 2.7989
Epoch 2/5... Discriminator Loss: 0.4967... Generator Loss: 1.6119
Epoch 2/5... Discriminator Loss: 0.6116... Generator Loss: 1.5270
Epoch 2/5... Discriminator Loss: 3.0722... Generator Loss: 0.0643
Epoch 2/5... Discriminator Loss: 0.7748... Generator Loss: 1.1077
Epoch 2/5... Discriminator Loss: 0.5702... Generator Loss: 1.5721
Epoch 2/5... Discriminator Loss: 0.7186... Generator Loss: 0.9553
Epoch 2/5... Discriminator Loss: 0.4630... Generator Loss: 1.6810
Epoch 2/5... Discriminator Loss: 1.1813... Generator Loss: 0.5717
Epoch 2/5... Discriminator Loss: 0.7408... Generator Loss: 1.1400
Epoch 2/5... Discriminator Loss: 0.7273... Generator Loss: 2.9867
Epoch 2/5... Discriminator Loss: 0.6503... Generator Loss: 2.0664
Epoch 2/5... Discriminator Loss: 0.6635... Generator Loss: 0.9879
Epoch 2/5... Discriminator Loss: 1.0628... Generator Loss: 0.8287
Epoch 2/5... Discriminator Loss: 0.5639... Generator Loss: 1.7887
Epoch 2/5... Discriminator Loss: 1.0850... Generator Loss: 0.5983
Epoch 2/5... Discriminator Loss: 0.4908... Generator Loss: 1.8930
Epoch 2/5... Discriminator Loss: 0.5252... Generator Loss: 1.6836
Epoch 2/5... Discriminator Loss: 0.5118... Generator Loss: 2.0073
Epoch 2/5... Discriminator Loss: 0.4201... Generator Loss: 1.7284
Epoch 2/5... Discriminator Loss: 0.6563... Generator Loss: 1.9273
Epoch 2/5... Discriminator Loss: 0.5688... Generator Loss: 1.1664
Epoch 2/5... Discriminator Loss: 0.8580... Generator Loss: 0.8339
Epoch 2/5... Discriminator Loss: 0.7929... Generator Loss: 0.8793
Epoch 2/5... Discriminator Loss: 1.1394... Generator Loss: 3.4613
Epoch 2/5... Discriminator Loss: 1.2320... Generator Loss: 0.6905
Epoch 2/5... Discriminator Loss: 0.7875... Generator Loss: 1.6485
Epoch 2/5... Discriminator Loss: 0.8047... Generator Loss: 0.9441
Epoch 2/5... Discriminator Loss: 0.6963... Generator Loss: 1.0462
Epoch 2/5... Discriminator Loss: 1.1882... Generator Loss: 0.5586
Epoch 2/5... Discriminator Loss: 0.5573... Generator Loss: 1.8606
Epoch 2/5... Discriminator Loss: 0.7020... Generator Loss: 1.5289
Epoch 2/5... Discriminator Loss: 0.5872... Generator Loss: 1.8717
Epoch 2/5... Discriminator Loss: 1.0256... Generator Loss: 2.3056
Epoch 2/5... Discriminator Loss: 0.6411... Generator Loss: 1.2121
Epoch 2/5... Discriminator Loss: 0.6299... Generator Loss: 1.2630
Epoch 2/5... Discriminator Loss: 0.5355... Generator Loss: 1.4338
Epoch 2/5... Discriminator Loss: 0.6561... Generator Loss: 1.0471
Epoch 2/5... Discriminator Loss: 0.6600... Generator Loss: 1.8154
Epoch 2/5... Discriminator Loss: 1.8259... Generator Loss: 0.3298
Epoch 2/5... Discriminator Loss: 1.1290... Generator Loss: 0.9043
Epoch 2/5... Discriminator Loss: 1.1367... Generator Loss: 0.7755
Epoch 2/5... Discriminator Loss: 1.0059... Generator Loss: 1.6221
Epoch 2/5... Discriminator Loss: 1.3554... Generator Loss: 2.4700
Epoch 2/5... Discriminator Loss: 0.5390... Generator Loss: 1.3758
Epoch 2/5... Discriminator Loss: 0.5520... Generator Loss: 1.4843
Epoch 2/5... Discriminator Loss: 0.5244... Generator Loss: 1.4443
Epoch 2/5... Discriminator Loss: 0.4627... Generator Loss: 1.2848
Epoch 2/5... Discriminator Loss: 0.6174... Generator Loss: 1.6142
Epoch 2/5... Discriminator Loss: 1.0345... Generator Loss: 1.4042
Epoch 2/5... Discriminator Loss: 0.9967... Generator Loss: 0.8059
Epoch 2/5... Discriminator Loss: 0.6632... Generator Loss: 1.4912
Epoch 2/5... Discriminator Loss: 0.7874... Generator Loss: 1.2086
Epoch 2/5... Discriminator Loss: 0.6849... Generator Loss: 2.2292
Epoch 2/5... Discriminator Loss: 0.4762... Generator Loss: 1.8211
Epoch 2/5... Discriminator Loss: 0.5909... Generator Loss: 1.6395
Epoch 3/5... Discriminator Loss: 0.6754... Generator Loss: 1.3434
Epoch 3/5... Discriminator Loss: 0.4310... Generator Loss: 1.7307
Epoch 3/5... Discriminator Loss: 0.6112... Generator Loss: 1.2669
Epoch 3/5... Discriminator Loss: 0.6681... Generator Loss: 2.1106
Epoch 3/5... Discriminator Loss: 0.7897... Generator Loss: 0.8182
Epoch 3/5... Discriminator Loss: 1.7425... Generator Loss: 0.3195
Epoch 3/5... Discriminator Loss: 1.2146... Generator Loss: 0.4949
Epoch 3/5... Discriminator Loss: 0.8205... Generator Loss: 1.4689
Epoch 3/5... Discriminator Loss: 0.8182... Generator Loss: 1.5682
Epoch 3/5... Discriminator Loss: 1.1462... Generator Loss: 0.5466
Epoch 3/5... Discriminator Loss: 0.6790... Generator Loss: 1.2259
Epoch 3/5... Discriminator Loss: 0.6378... Generator Loss: 1.1075
Epoch 3/5... Discriminator Loss: 0.6043... Generator Loss: 1.1449
Epoch 3/5... Discriminator Loss: 0.7306... Generator Loss: 1.3570
Epoch 3/5... Discriminator Loss: 0.7756... Generator Loss: 0.8723
Epoch 3/5... Discriminator Loss: 0.4497... Generator Loss: 1.4898
Epoch 3/5... Discriminator Loss: 0.6414... Generator Loss: 1.3424
Epoch 3/5... Discriminator Loss: 0.8343... Generator Loss: 1.1578
Epoch 3/5... Discriminator Loss: 1.0687... Generator Loss: 1.6506
Epoch 3/5... Discriminator Loss: 0.8830... Generator Loss: 0.9407
Epoch 3/5... Discriminator Loss: 0.9007... Generator Loss: 0.7005
Epoch 3/5... Discriminator Loss: 0.7326... Generator Loss: 1.0056
Epoch 3/5... Discriminator Loss: 0.4953... Generator Loss: 1.4899
Epoch 3/5... Discriminator Loss: 0.6648... Generator Loss: 1.1153
Epoch 3/5... Discriminator Loss: 0.5265... Generator Loss: 1.4142
Epoch 3/5... Discriminator Loss: 1.7164... Generator Loss: 3.6053
Epoch 3/5... Discriminator Loss: 1.2759... Generator Loss: 0.4779
Epoch 3/5... Discriminator Loss: 0.5138... Generator Loss: 1.3433
Epoch 3/5... Discriminator Loss: 0.5782... Generator Loss: 1.2906
Epoch 3/5... Discriminator Loss: 0.5351... Generator Loss: 1.4617
Epoch 3/5... Discriminator Loss: 0.7612... Generator Loss: 0.8571
Epoch 3/5... Discriminator Loss: 0.7014... Generator Loss: 1.0042
Epoch 3/5... Discriminator Loss: 1.3440... Generator Loss: 0.4477
Epoch 3/5... Discriminator Loss: 0.6021... Generator Loss: 2.4225
Epoch 3/5... Discriminator Loss: 0.7870... Generator Loss: 0.7749
Epoch 3/5... Discriminator Loss: 1.3793... Generator Loss: 0.4223
Epoch 3/5... Discriminator Loss: 0.7150... Generator Loss: 1.8791
Epoch 3/5... Discriminator Loss: 0.6521... Generator Loss: 1.2237
Epoch 3/5... Discriminator Loss: 0.7279... Generator Loss: 1.1972
Epoch 3/5... Discriminator Loss: 0.5647... Generator Loss: 1.4969
Epoch 3/5... Discriminator Loss: 0.4583... Generator Loss: 1.5785
Epoch 3/5... Discriminator Loss: 0.7541... Generator Loss: 0.8556
Epoch 3/5... Discriminator Loss: 1.6882... Generator Loss: 0.2623
Epoch 3/5... Discriminator Loss: 1.0205... Generator Loss: 0.6447
Epoch 3/5... Discriminator Loss: 0.7437... Generator Loss: 1.0019
Epoch 3/5... Discriminator Loss: 0.5963... Generator Loss: 2.1594
Epoch 3/5... Discriminator Loss: 0.5886... Generator Loss: 2.3295
Epoch 3/5... Discriminator Loss: 0.7662... Generator Loss: 0.9970
Epoch 3/5... Discriminator Loss: 0.5992... Generator Loss: 2.1263
Epoch 3/5... Discriminator Loss: 0.6154... Generator Loss: 1.1941
Epoch 3/5... Discriminator Loss: 0.8252... Generator Loss: 0.9017
Epoch 3/5... Discriminator Loss: 0.7019... Generator Loss: 1.0035
Epoch 3/5... Discriminator Loss: 0.4235... Generator Loss: 1.5798
Epoch 3/5... Discriminator Loss: 0.6993... Generator Loss: 1.0253
Epoch 3/5... Discriminator Loss: 0.2855... Generator Loss: 1.8436
Epoch 3/5... Discriminator Loss: 1.2982... Generator Loss: 0.4185
Epoch 3/5... Discriminator Loss: 1.4721... Generator Loss: 0.4432
Epoch 3/5... Discriminator Loss: 0.9239... Generator Loss: 0.7280
Epoch 3/5... Discriminator Loss: 0.6051... Generator Loss: 1.1281
Epoch 3/5... Discriminator Loss: 0.6676... Generator Loss: 0.9689
Epoch 3/5... Discriminator Loss: 0.4225... Generator Loss: 1.6030
Epoch 3/5... Discriminator Loss: 0.2863... Generator Loss: 1.9870
Epoch 3/5... Discriminator Loss: 2.7080... Generator Loss: 0.1271
Epoch 3/5... Discriminator Loss: 0.6857... Generator Loss: 1.1618
Epoch 3/5... Discriminator Loss: 0.9763... Generator Loss: 0.6431
Epoch 3/5... Discriminator Loss: 0.7216... Generator Loss: 0.9205
Epoch 3/5... Discriminator Loss: 0.8262... Generator Loss: 0.8862
Epoch 3/5... Discriminator Loss: 0.8654... Generator Loss: 0.7733
Epoch 3/5... Discriminator Loss: 1.7165... Generator Loss: 0.3139
Epoch 3/5... Discriminator Loss: 0.6744... Generator Loss: 0.9495
Epoch 3/5... Discriminator Loss: 0.4619... Generator Loss: 1.3426
Epoch 3/5... Discriminator Loss: 0.8723... Generator Loss: 2.0401
Epoch 3/5... Discriminator Loss: 0.5892... Generator Loss: 2.0930
Epoch 3/5... Discriminator Loss: 0.6837... Generator Loss: 3.2417
Epoch 3/5... Discriminator Loss: 0.9516... Generator Loss: 1.9454
Epoch 3/5... Discriminator Loss: 0.7099... Generator Loss: 1.0639
Epoch 3/5... Discriminator Loss: 0.7833... Generator Loss: 1.0090
Epoch 3/5... Discriminator Loss: 0.6920... Generator Loss: 1.4699
Epoch 3/5... Discriminator Loss: 0.7618... Generator Loss: 1.6943
Epoch 3/5... Discriminator Loss: 0.6754... Generator Loss: 1.0188
Epoch 3/5... Discriminator Loss: 0.5688... Generator Loss: 2.1219
Epoch 3/5... Discriminator Loss: 0.4436... Generator Loss: 1.4852
Epoch 3/5... Discriminator Loss: 0.6665... Generator Loss: 1.0249
Epoch 3/5... Discriminator Loss: 2.1429... Generator Loss: 0.1864
Epoch 3/5... Discriminator Loss: 0.7505... Generator Loss: 0.9427
Epoch 3/5... Discriminator Loss: 1.4974... Generator Loss: 0.4532
Epoch 3/5... Discriminator Loss: 1.1341... Generator Loss: 0.7386
Epoch 3/5... Discriminator Loss: 0.5010... Generator Loss: 1.4627
Epoch 3/5... Discriminator Loss: 0.5211... Generator Loss: 1.3171
Epoch 3/5... Discriminator Loss: 0.4051... Generator Loss: 1.9212
Epoch 3/5... Discriminator Loss: 0.6309... Generator Loss: 1.0981
Epoch 3/5... Discriminator Loss: 0.6095... Generator Loss: 1.9327
Epoch 3/5... Discriminator Loss: 0.8478... Generator Loss: 0.7458
Epoch 3/5... Discriminator Loss: 0.6429... Generator Loss: 1.1319
Epoch 4/5... Discriminator Loss: 0.6212... Generator Loss: 1.1972
Epoch 4/5... Discriminator Loss: 1.3765... Generator Loss: 0.4476
Epoch 4/5... Discriminator Loss: 0.9698... Generator Loss: 1.7549
Epoch 4/5... Discriminator Loss: 0.6054... Generator Loss: 1.1653
Epoch 4/5... Discriminator Loss: 0.7958... Generator Loss: 0.8534
Epoch 4/5... Discriminator Loss: 1.2880... Generator Loss: 0.4829
Epoch 4/5... Discriminator Loss: 0.6327... Generator Loss: 1.1208
Epoch 4/5... Discriminator Loss: 0.7002... Generator Loss: 0.9365
Epoch 4/5... Discriminator Loss: 0.7009... Generator Loss: 0.9601
Epoch 4/5... Discriminator Loss: 0.8804... Generator Loss: 0.7782
Epoch 4/5... Discriminator Loss: 0.7626... Generator Loss: 0.8698
Epoch 4/5... Discriminator Loss: 0.5243... Generator Loss: 1.2255
Epoch 4/5... Discriminator Loss: 0.6694... Generator Loss: 1.0195
Epoch 4/5... Discriminator Loss: 0.4170... Generator Loss: 1.5832
Epoch 4/5... Discriminator Loss: 0.6030... Generator Loss: 1.1634
Epoch 4/5... Discriminator Loss: 0.4259... Generator Loss: 1.3961
Epoch 4/5... Discriminator Loss: 1.2437... Generator Loss: 0.5821
Epoch 4/5... Discriminator Loss: 1.4552... Generator Loss: 0.5304
Epoch 4/5... Discriminator Loss: 0.9209... Generator Loss: 0.8079
Epoch 4/5... Discriminator Loss: 1.0503... Generator Loss: 2.1245
Epoch 4/5... Discriminator Loss: 0.6112... Generator Loss: 1.7873
Epoch 4/5... Discriminator Loss: 1.8505... Generator Loss: 4.2948
Epoch 4/5... Discriminator Loss: 0.4987... Generator Loss: 2.1481
Epoch 4/5... Discriminator Loss: 0.9261... Generator Loss: 0.7010
Epoch 4/5... Discriminator Loss: 0.5082... Generator Loss: 1.3822
Epoch 4/5... Discriminator Loss: 1.0323... Generator Loss: 0.6845
Epoch 4/5... Discriminator Loss: 0.9430... Generator Loss: 0.7645
Epoch 4/5... Discriminator Loss: 0.6727... Generator Loss: 1.0679
Epoch 4/5... Discriminator Loss: 0.3893... Generator Loss: 1.7678
Epoch 4/5... Discriminator Loss: 0.5016... Generator Loss: 1.4994
Epoch 4/5... Discriminator Loss: 0.9109... Generator Loss: 1.3348
Epoch 4/5... Discriminator Loss: 0.8994... Generator Loss: 1.7412
Epoch 4/5... Discriminator Loss: 1.1955... Generator Loss: 0.5594
Epoch 4/5... Discriminator Loss: 0.6865... Generator Loss: 1.6615
Epoch 4/5... Discriminator Loss: 0.9824... Generator Loss: 0.7229
Epoch 4/5... Discriminator Loss: 0.7814... Generator Loss: 0.8426
Epoch 4/5... Discriminator Loss: 0.3589... Generator Loss: 1.7438
Epoch 4/5... Discriminator Loss: 0.6878... Generator Loss: 1.1848
Epoch 4/5... Discriminator Loss: 0.8985... Generator Loss: 0.7895
Epoch 4/5... Discriminator Loss: 1.0751... Generator Loss: 0.6407
Epoch 4/5... Discriminator Loss: 1.8775... Generator Loss: 0.2499
Epoch 4/5... Discriminator Loss: 0.6270... Generator Loss: 1.0411
Epoch 4/5... Discriminator Loss: 0.9743... Generator Loss: 0.7240
Epoch 4/5... Discriminator Loss: 0.5488... Generator Loss: 1.2004
Epoch 4/5... Discriminator Loss: 0.3858... Generator Loss: 1.9637
Epoch 4/5... Discriminator Loss: 0.9358... Generator Loss: 0.7093
Epoch 4/5... Discriminator Loss: 0.7475... Generator Loss: 0.9731
Epoch 4/5... Discriminator Loss: 0.9303... Generator Loss: 0.7282
Epoch 4/5... Discriminator Loss: 1.0605... Generator Loss: 0.6557
Epoch 4/5... Discriminator Loss: 0.7267... Generator Loss: 2.3746
Epoch 4/5... Discriminator Loss: 1.8173... Generator Loss: 0.2663
Epoch 4/5... Discriminator Loss: 0.6453... Generator Loss: 1.2179
Epoch 4/5... Discriminator Loss: 1.5448... Generator Loss: 0.4612
Epoch 4/5... Discriminator Loss: 0.4338... Generator Loss: 1.6387
Epoch 4/5... Discriminator Loss: 0.6746... Generator Loss: 1.4587
Epoch 4/5... Discriminator Loss: 0.4814... Generator Loss: 1.3741
Epoch 4/5... Discriminator Loss: 0.7343... Generator Loss: 0.9623
Epoch 4/5... Discriminator Loss: 0.7001... Generator Loss: 1.0124
Epoch 4/5... Discriminator Loss: 0.3540... Generator Loss: 1.7556
Epoch 4/5... Discriminator Loss: 1.4445... Generator Loss: 0.4035
Epoch 4/5... Discriminator Loss: 0.3766... Generator Loss: 2.0883
Epoch 4/5... Discriminator Loss: 0.3910... Generator Loss: 1.5646
Epoch 4/5... Discriminator Loss: 0.7955... Generator Loss: 1.9177
Epoch 4/5... Discriminator Loss: 0.6841... Generator Loss: 1.3569
Epoch 4/5... Discriminator Loss: 0.5608... Generator Loss: 1.3628
Epoch 4/5... Discriminator Loss: 0.4200... Generator Loss: 1.9887
Epoch 4/5... Discriminator Loss: 0.7033... Generator Loss: 1.0475
Epoch 4/5... Discriminator Loss: 0.6255... Generator Loss: 1.3543
Epoch 4/5... Discriminator Loss: 0.6617... Generator Loss: 2.0972
Epoch 4/5... Discriminator Loss: 0.7820... Generator Loss: 2.1360
Epoch 4/5... Discriminator Loss: 0.7349... Generator Loss: 1.2583
Epoch 4/5... Discriminator Loss: 0.5426... Generator Loss: 1.3477
Epoch 4/5... Discriminator Loss: 1.3599... Generator Loss: 0.4677
Epoch 4/5... Discriminator Loss: 0.3507... Generator Loss: 2.2322
Epoch 4/5... Discriminator Loss: 0.6336... Generator Loss: 0.9666
Epoch 4/5... Discriminator Loss: 0.3764... Generator Loss: 1.5346
Epoch 4/5... Discriminator Loss: 0.4755... Generator Loss: 1.3883
Epoch 4/5... Discriminator Loss: 0.9037... Generator Loss: 0.7893
Epoch 4/5... Discriminator Loss: 0.6801... Generator Loss: 1.0941
Epoch 4/5... Discriminator Loss: 0.3412... Generator Loss: 2.2004
Epoch 4/5... Discriminator Loss: 0.8024... Generator Loss: 0.9626
Epoch 4/5... Discriminator Loss: 0.5817... Generator Loss: 1.3402
Epoch 4/5... Discriminator Loss: 0.8626... Generator Loss: 0.8031
Epoch 4/5... Discriminator Loss: 0.7847... Generator Loss: 0.8532
Epoch 4/5... Discriminator Loss: 0.8569... Generator Loss: 3.5513
Epoch 4/5... Discriminator Loss: 0.6586... Generator Loss: 4.2396
Epoch 4/5... Discriminator Loss: 2.2862... Generator Loss: 0.1597
Epoch 4/5... Discriminator Loss: 0.5912... Generator Loss: 1.2052
Epoch 4/5... Discriminator Loss: 1.1908... Generator Loss: 0.5304
Epoch 4/5... Discriminator Loss: 0.4466... Generator Loss: 1.4075
Epoch 4/5... Discriminator Loss: 0.4522... Generator Loss: 1.8677
Epoch 4/5... Discriminator Loss: 1.3911... Generator Loss: 0.4468
Epoch 4/5... Discriminator Loss: 1.4052... Generator Loss: 3.1108
Epoch 5/5... Discriminator Loss: 0.7008... Generator Loss: 2.4538
Epoch 5/5... Discriminator Loss: 1.0922... Generator Loss: 0.6265
Epoch 5/5... Discriminator Loss: 0.6020... Generator Loss: 1.3599
Epoch 5/5... Discriminator Loss: 1.3233... Generator Loss: 0.6006
Epoch 5/5... Discriminator Loss: 0.7153... Generator Loss: 2.6729
Epoch 5/5... Discriminator Loss: 1.7360... Generator Loss: 4.1940
Epoch 5/5... Discriminator Loss: 0.5882... Generator Loss: 1.7657
Epoch 5/5... Discriminator Loss: 0.8791... Generator Loss: 3.1122
Epoch 5/5... Discriminator Loss: 0.4979... Generator Loss: 1.7854
Epoch 5/5... Discriminator Loss: 0.6957... Generator Loss: 0.9763
Epoch 5/5... Discriminator Loss: 0.7270... Generator Loss: 0.9541
Epoch 5/5... Discriminator Loss: 0.7905... Generator Loss: 1.8505
Epoch 5/5... Discriminator Loss: 0.8107... Generator Loss: 1.6636
Epoch 5/5... Discriminator Loss: 0.6176... Generator Loss: 1.3687
Epoch 5/5... Discriminator Loss: 0.5743... Generator Loss: 1.3779
Epoch 5/5... Discriminator Loss: 1.2296... Generator Loss: 0.4722
Epoch 5/5... Discriminator Loss: 0.4078... Generator Loss: 1.7375
Epoch 5/5... Discriminator Loss: 0.4930... Generator Loss: 1.8028
Epoch 5/5... Discriminator Loss: 0.6735... Generator Loss: 0.9508
Epoch 5/5... Discriminator Loss: 0.7713... Generator Loss: 0.8839
Epoch 5/5... Discriminator Loss: 0.5774... Generator Loss: 1.1868
Epoch 5/5... Discriminator Loss: 0.5470... Generator Loss: 1.2356
Epoch 5/5... Discriminator Loss: 0.6530... Generator Loss: 1.0478
Epoch 5/5... Discriminator Loss: 0.6430... Generator Loss: 1.1518
Epoch 5/5... Discriminator Loss: 0.4212... Generator Loss: 1.6571
Epoch 5/5... Discriminator Loss: 0.7190... Generator Loss: 2.0919
Epoch 5/5... Discriminator Loss: 0.5039... Generator Loss: 1.8073
Epoch 5/5... Discriminator Loss: 0.5473... Generator Loss: 1.8852
Epoch 5/5... Discriminator Loss: 0.9747... Generator Loss: 0.6531
Epoch 5/5... Discriminator Loss: 0.6255... Generator Loss: 1.1805
Epoch 5/5... Discriminator Loss: 0.4919... Generator Loss: 1.5594
Epoch 5/5... Discriminator Loss: 0.6469... Generator Loss: 1.0108
Epoch 5/5... Discriminator Loss: 0.6882... Generator Loss: 1.0793
Epoch 5/5... Discriminator Loss: 0.6299... Generator Loss: 1.1742
Epoch 5/5... Discriminator Loss: 0.4784... Generator Loss: 1.3773
Epoch 5/5... Discriminator Loss: 0.7277... Generator Loss: 1.5585
Epoch 5/5... Discriminator Loss: 1.3640... Generator Loss: 0.4601
Epoch 5/5... Discriminator Loss: 1.0994... Generator Loss: 0.6341
Epoch 5/5... Discriminator Loss: 1.4006... Generator Loss: 0.4535
Epoch 5/5... Discriminator Loss: 1.4306... Generator Loss: 0.4615
Epoch 5/5... Discriminator Loss: 1.6375... Generator Loss: 0.3985
Epoch 5/5... Discriminator Loss: 0.4429... Generator Loss: 1.6438
Epoch 5/5... Discriminator Loss: 0.6812... Generator Loss: 0.9704
Epoch 5/5... Discriminator Loss: 1.4006... Generator Loss: 0.4983
Epoch 5/5... Discriminator Loss: 0.6944... Generator Loss: 1.1237
Epoch 5/5... Discriminator Loss: 0.5442... Generator Loss: 1.2585
Epoch 5/5... Discriminator Loss: 2.3401... Generator Loss: 0.1805
Epoch 5/5... Discriminator Loss: 2.6199... Generator Loss: 0.1292
Epoch 5/5... Discriminator Loss: 0.8669... Generator Loss: 1.1734
Epoch 5/5... Discriminator Loss: 0.7608... Generator Loss: 0.9449
Epoch 5/5... Discriminator Loss: 0.8218... Generator Loss: 0.8401
Epoch 5/5... Discriminator Loss: 3.1179... Generator Loss: 5.4801
Epoch 5/5... Discriminator Loss: 1.5064... Generator Loss: 3.1782
Epoch 5/5... Discriminator Loss: 1.0783... Generator Loss: 0.5962
Epoch 5/5... Discriminator Loss: 0.5216... Generator Loss: 1.5905
Epoch 5/5... Discriminator Loss: 0.4491... Generator Loss: 1.6826
Epoch 5/5... Discriminator Loss: 0.6137... Generator Loss: 1.7100
Epoch 5/5... Discriminator Loss: 0.6108... Generator Loss: 1.0933
Epoch 5/5... Discriminator Loss: 0.4376... Generator Loss: 1.8780
Epoch 5/5... Discriminator Loss: 0.5068... Generator Loss: 1.3242
Epoch 5/5... Discriminator Loss: 0.8590... Generator Loss: 0.8401
Epoch 5/5... Discriminator Loss: 0.3901... Generator Loss: 2.9173
Epoch 5/5... Discriminator Loss: 1.7397... Generator Loss: 0.2928
Epoch 5/5... Discriminator Loss: 1.5420... Generator Loss: 0.3833
Epoch 5/5... Discriminator Loss: 0.5620... Generator Loss: 1.2792
Epoch 5/5... Discriminator Loss: 1.4420... Generator Loss: 0.5034
Epoch 5/5... Discriminator Loss: 0.6585... Generator Loss: 1.1897
Epoch 5/5... Discriminator Loss: 0.6233... Generator Loss: 1.1624
Epoch 5/5... Discriminator Loss: 1.2302... Generator Loss: 0.5608
Epoch 5/5... Discriminator Loss: 1.2102... Generator Loss: 0.6746
Epoch 5/5... Discriminator Loss: 0.4482... Generator Loss: 2.0291
Epoch 5/5... Discriminator Loss: 1.1915... Generator Loss: 0.5843
Epoch 5/5... Discriminator Loss: 0.5081... Generator Loss: 1.3318
Epoch 5/5... Discriminator Loss: 0.4373... Generator Loss: 1.5800
Epoch 5/5... Discriminator Loss: 0.6285... Generator Loss: 1.1904
Epoch 5/5... Discriminator Loss: 0.6081... Generator Loss: 1.0841
Epoch 5/5... Discriminator Loss: 0.4975... Generator Loss: 1.3873
Epoch 5/5... Discriminator Loss: 0.6188... Generator Loss: 1.2329
Epoch 5/5... Discriminator Loss: 1.4359... Generator Loss: 4.9463
Epoch 5/5... Discriminator Loss: 1.1067... Generator Loss: 2.9398
Epoch 5/5... Discriminator Loss: 0.3232... Generator Loss: 2.6137
Epoch 5/5... Discriminator Loss: 0.5484... Generator Loss: 2.6264
Epoch 5/5... Discriminator Loss: 0.6832... Generator Loss: 2.4434
Epoch 5/5... Discriminator Loss: 0.9014... Generator Loss: 0.7602
Epoch 5/5... Discriminator Loss: 0.5125... Generator Loss: 3.0874
Epoch 5/5... Discriminator Loss: 0.7377... Generator Loss: 3.8940
Epoch 5/5... Discriminator Loss: 0.8592... Generator Loss: 1.1831
Epoch 5/5... Discriminator Loss: 0.7331... Generator Loss: 1.7998
Epoch 5/5... Discriminator Loss: 0.6721... Generator Loss: 1.1386
Epoch 5/5... Discriminator Loss: 0.4030... Generator Loss: 1.8552
Epoch 5/5... Discriminator Loss: 0.7159... Generator Loss: 0.9779
Epoch 5/5... Discriminator Loss: 0.8663... Generator Loss: 0.7554
Epoch 5/5... Discriminator Loss: 0.9909... Generator Loss: 0.6535
Epoch 5/5... Discriminator Loss: 0.6444... Generator Loss: 1.2682

CelebA

Run your GANs on CelebA. It will take around 20 minutes on the average GPU to run one epoch. You can run the whole epoch or stop when it starts to generate realistic faces.

In [13]:
batch_size = 64
z_dim = 110
learning_rate = 0.0008
beta1 = 0.5


"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
epochs = 3

celeba_dataset = helper.Dataset('celeba', glob(os.path.join(data_dir, 'img_align_celeba/*.jpg')))
with tf.Graph().as_default():
    train(epochs, batch_size, z_dim, learning_rate, beta1, celeba_dataset.get_batches,
          celeba_dataset.shape, celeba_dataset.image_mode)
(202599, 28, 28, 3)
width: 28, height: 28, channels: 3
Channel mode: RGB
Epoch 1/3... Discriminator Loss: 1.8784... Generator Loss: 0.2356
Epoch 1/3... Discriminator Loss: 0.2474... Generator Loss: 6.6954
Epoch 1/3... Discriminator Loss: 0.3799... Generator Loss: 1.7029
Epoch 1/3... Discriminator Loss: 0.4245... Generator Loss: 1.3854
Epoch 1/3... Discriminator Loss: 0.9739... Generator Loss: 10.2163
Epoch 1/3... Discriminator Loss: 0.5769... Generator Loss: 2.7662
Epoch 1/3... Discriminator Loss: 1.3135... Generator Loss: 0.7195
Epoch 1/3... Discriminator Loss: 1.0750... Generator Loss: 0.5646
Epoch 1/3... Discriminator Loss: 0.5041... Generator Loss: 1.5649
Epoch 1/3... Discriminator Loss: 1.0604... Generator Loss: 0.6010
Epoch 1/3... Discriminator Loss: 0.5716... Generator Loss: 2.3329
Epoch 1/3... Discriminator Loss: 0.6554... Generator Loss: 1.3697
Epoch 1/3... Discriminator Loss: 0.9166... Generator Loss: 4.8789
Epoch 1/3... Discriminator Loss: 0.9921... Generator Loss: 2.0370
Epoch 1/3... Discriminator Loss: 1.1080... Generator Loss: 1.0032
Epoch 1/3... Discriminator Loss: 2.1390... Generator Loss: 0.1944
Epoch 1/3... Discriminator Loss: 1.4485... Generator Loss: 1.2454
Epoch 1/3... Discriminator Loss: 2.2066... Generator Loss: 0.2594
Epoch 1/3... Discriminator Loss: 2.2094... Generator Loss: 0.3238
Epoch 1/3... Discriminator Loss: 1.6614... Generator Loss: 1.2919
Epoch 1/3... Discriminator Loss: 0.8853... Generator Loss: 1.7032
Epoch 1/3... Discriminator Loss: 1.5596... Generator Loss: 1.5004
Epoch 1/3... Discriminator Loss: 1.3297... Generator Loss: 1.9207
Epoch 1/3... Discriminator Loss: 0.8703... Generator Loss: 1.1449
Epoch 1/3... Discriminator Loss: 0.7671... Generator Loss: 1.9147
Epoch 1/3... Discriminator Loss: 0.8756... Generator Loss: 1.8035
Epoch 1/3... Discriminator Loss: 1.3770... Generator Loss: 0.6493
Epoch 1/3... Discriminator Loss: 1.2505... Generator Loss: 0.8082
Epoch 1/3... Discriminator Loss: 1.1476... Generator Loss: 1.4031
Epoch 1/3... Discriminator Loss: 0.7827... Generator Loss: 1.7389
Epoch 1/3... Discriminator Loss: 0.4372... Generator Loss: 2.8852
Epoch 1/3... Discriminator Loss: 0.9415... Generator Loss: 2.2760
Epoch 1/3... Discriminator Loss: 2.7640... Generator Loss: 4.1220
Epoch 1/3... Discriminator Loss: 1.4399... Generator Loss: 0.7093
Epoch 1/3... Discriminator Loss: 1.1209... Generator Loss: 1.2361
Epoch 1/3... Discriminator Loss: 1.2449... Generator Loss: 0.7724
Epoch 1/3... Discriminator Loss: 1.1007... Generator Loss: 1.1534
Epoch 1/3... Discriminator Loss: 0.8593... Generator Loss: 1.1900
Epoch 1/3... Discriminator Loss: 1.6333... Generator Loss: 0.7117
Epoch 1/3... Discriminator Loss: 1.4684... Generator Loss: 0.9364
Epoch 1/3... Discriminator Loss: 1.4648... Generator Loss: 1.0675
Epoch 1/3... Discriminator Loss: 1.1837... Generator Loss: 2.3270
Epoch 1/3... Discriminator Loss: 1.2620... Generator Loss: 0.9713
Epoch 1/3... Discriminator Loss: 0.8266... Generator Loss: 2.0664
Epoch 1/3... Discriminator Loss: 0.9002... Generator Loss: 1.3628
Epoch 1/3... Discriminator Loss: 1.6971... Generator Loss: 0.3817
Epoch 1/3... Discriminator Loss: 1.1228... Generator Loss: 1.0589
Epoch 1/3... Discriminator Loss: 0.7273... Generator Loss: 1.4447
Epoch 1/3... Discriminator Loss: 1.1080... Generator Loss: 1.2894
Epoch 1/3... Discriminator Loss: 0.6995... Generator Loss: 1.6050
Epoch 1/3... Discriminator Loss: 0.6952... Generator Loss: 1.3443
Epoch 1/3... Discriminator Loss: 1.0143... Generator Loss: 1.0871
Epoch 1/3... Discriminator Loss: 1.1218... Generator Loss: 0.9732
Epoch 1/3... Discriminator Loss: 0.7422... Generator Loss: 1.1498
Epoch 1/3... Discriminator Loss: 3.1997... Generator Loss: 5.0323
Epoch 1/3... Discriminator Loss: 0.6484... Generator Loss: 2.1155
Epoch 1/3... Discriminator Loss: 1.4486... Generator Loss: 0.9224
Epoch 1/3... Discriminator Loss: 1.4400... Generator Loss: 0.4778
Epoch 1/3... Discriminator Loss: 1.0561... Generator Loss: 1.1112
Epoch 1/3... Discriminator Loss: 1.0559... Generator Loss: 1.8889
Epoch 1/3... Discriminator Loss: 0.9473... Generator Loss: 1.0604
Epoch 1/3... Discriminator Loss: 1.1194... Generator Loss: 0.7305
Epoch 1/3... Discriminator Loss: 0.9064... Generator Loss: 0.8761
Epoch 1/3... Discriminator Loss: 0.9502... Generator Loss: 1.5419
Epoch 1/3... Discriminator Loss: 0.9690... Generator Loss: 0.8542
Epoch 1/3... Discriminator Loss: 1.1169... Generator Loss: 2.9048
Epoch 1/3... Discriminator Loss: 1.0757... Generator Loss: 1.0567
Epoch 1/3... Discriminator Loss: 0.6680... Generator Loss: 1.4631
Epoch 1/3... Discriminator Loss: 0.8713... Generator Loss: 1.2220
Epoch 1/3... Discriminator Loss: 0.8863... Generator Loss: 0.9478
Epoch 1/3... Discriminator Loss: 0.8064... Generator Loss: 2.4955
Epoch 1/3... Discriminator Loss: 1.2230... Generator Loss: 0.6196
Epoch 1/3... Discriminator Loss: 0.9900... Generator Loss: 1.1069
Epoch 1/3... Discriminator Loss: 1.7530... Generator Loss: 0.3063
Epoch 1/3... Discriminator Loss: 0.7066... Generator Loss: 1.3556
Epoch 1/3... Discriminator Loss: 1.5122... Generator Loss: 0.6322
Epoch 1/3... Discriminator Loss: 0.6600... Generator Loss: 1.2442
Epoch 1/3... Discriminator Loss: 0.9418... Generator Loss: 1.5085
Epoch 1/3... Discriminator Loss: 1.2309... Generator Loss: 0.5542
Epoch 1/3... Discriminator Loss: 0.6214... Generator Loss: 1.4325
Epoch 1/3... Discriminator Loss: 1.0691... Generator Loss: 1.2832
Epoch 1/3... Discriminator Loss: 1.0600... Generator Loss: 0.6831
Epoch 1/3... Discriminator Loss: 0.9297... Generator Loss: 1.0287
Epoch 1/3... Discriminator Loss: 0.9150... Generator Loss: 1.4119
Epoch 1/3... Discriminator Loss: 1.2372... Generator Loss: 1.6260
Epoch 1/3... Discriminator Loss: 1.1304... Generator Loss: 0.8814
Epoch 1/3... Discriminator Loss: 0.8800... Generator Loss: 2.3824
Epoch 1/3... Discriminator Loss: 0.7149... Generator Loss: 1.8934
Epoch 1/3... Discriminator Loss: 0.9971... Generator Loss: 1.5116
Epoch 1/3... Discriminator Loss: 1.0056... Generator Loss: 0.9223
Epoch 1/3... Discriminator Loss: 0.8724... Generator Loss: 1.3794
Epoch 1/3... Discriminator Loss: 0.7487... Generator Loss: 1.2100
Epoch 1/3... Discriminator Loss: 0.8968... Generator Loss: 0.7597
Epoch 1/3... Discriminator Loss: 1.0563... Generator Loss: 1.8253
Epoch 1/3... Discriminator Loss: 0.6013... Generator Loss: 1.5142
Epoch 1/3... Discriminator Loss: 0.8702... Generator Loss: 1.6450
Epoch 1/3... Discriminator Loss: 1.3947... Generator Loss: 0.4605
Epoch 1/3... Discriminator Loss: 0.9996... Generator Loss: 0.7435
Epoch 1/3... Discriminator Loss: 0.5939... Generator Loss: 1.9079
Epoch 1/3... Discriminator Loss: 0.7947... Generator Loss: 1.1109
Epoch 1/3... Discriminator Loss: 1.2799... Generator Loss: 3.3763
Epoch 1/3... Discriminator Loss: 0.6779... Generator Loss: 1.1799
Epoch 1/3... Discriminator Loss: 0.7695... Generator Loss: 1.0705
Epoch 1/3... Discriminator Loss: 0.7558... Generator Loss: 1.4766
Epoch 1/3... Discriminator Loss: 1.0586... Generator Loss: 0.8332
Epoch 1/3... Discriminator Loss: 0.9520... Generator Loss: 1.7767
Epoch 1/3... Discriminator Loss: 1.3439... Generator Loss: 0.5119
Epoch 1/3... Discriminator Loss: 0.6112... Generator Loss: 1.8008
Epoch 1/3... Discriminator Loss: 1.1041... Generator Loss: 0.6435
Epoch 1/3... Discriminator Loss: 0.8235... Generator Loss: 1.2485
Epoch 1/3... Discriminator Loss: 2.2985... Generator Loss: 2.2298
Epoch 1/3... Discriminator Loss: 0.9958... Generator Loss: 1.0532
Epoch 1/3... Discriminator Loss: 1.4715... Generator Loss: 0.5580
Epoch 1/3... Discriminator Loss: 1.3369... Generator Loss: 0.5050
Epoch 1/3... Discriminator Loss: 0.7812... Generator Loss: 1.7041
Epoch 1/3... Discriminator Loss: 0.7457... Generator Loss: 1.8266
Epoch 1/3... Discriminator Loss: 0.6875... Generator Loss: 1.6252
Epoch 1/3... Discriminator Loss: 0.7548... Generator Loss: 1.0320
Epoch 1/3... Discriminator Loss: 1.4840... Generator Loss: 0.5854
Epoch 1/3... Discriminator Loss: 1.0991... Generator Loss: 0.6413
Epoch 1/3... Discriminator Loss: 0.6879... Generator Loss: 1.5882
Epoch 1/3... Discriminator Loss: 0.9233... Generator Loss: 0.7981
Epoch 1/3... Discriminator Loss: 0.8878... Generator Loss: 1.2546
Epoch 1/3... Discriminator Loss: 0.7889... Generator Loss: 1.0425
Epoch 1/3... Discriminator Loss: 1.1349... Generator Loss: 0.6525
Epoch 1/3... Discriminator Loss: 0.7651... Generator Loss: 1.5142
Epoch 1/3... Discriminator Loss: 1.2525... Generator Loss: 0.6593
Epoch 1/3... Discriminator Loss: 0.9198... Generator Loss: 0.7413
Epoch 1/3... Discriminator Loss: 0.9086... Generator Loss: 0.9650
Epoch 1/3... Discriminator Loss: 1.0273... Generator Loss: 1.0789
Epoch 1/3... Discriminator Loss: 0.8151... Generator Loss: 1.3653
Epoch 1/3... Discriminator Loss: 0.8194... Generator Loss: 1.1517
Epoch 1/3... Discriminator Loss: 0.8325... Generator Loss: 1.5078
Epoch 1/3... Discriminator Loss: 0.8028... Generator Loss: 1.3636
Epoch 1/3... Discriminator Loss: 1.1367... Generator Loss: 0.6765
Epoch 1/3... Discriminator Loss: 0.9775... Generator Loss: 1.1736
Epoch 1/3... Discriminator Loss: 0.8154... Generator Loss: 1.3831
Epoch 1/3... Discriminator Loss: 0.7572... Generator Loss: 1.8173
Epoch 1/3... Discriminator Loss: 0.7196... Generator Loss: 1.5734
Epoch 1/3... Discriminator Loss: 1.1603... Generator Loss: 1.7437
Epoch 1/3... Discriminator Loss: 1.0218... Generator Loss: 0.9732
Epoch 1/3... Discriminator Loss: 1.0223... Generator Loss: 0.9273
Epoch 1/3... Discriminator Loss: 1.1143... Generator Loss: 1.2408
Epoch 1/3... Discriminator Loss: 0.9943... Generator Loss: 1.4089
Epoch 1/3... Discriminator Loss: 1.0833... Generator Loss: 1.7155
Epoch 1/3... Discriminator Loss: 0.7364... Generator Loss: 1.0785
Epoch 1/3... Discriminator Loss: 1.0596... Generator Loss: 3.0026
Epoch 1/3... Discriminator Loss: 1.2982... Generator Loss: 0.5532
Epoch 1/3... Discriminator Loss: 0.7367... Generator Loss: 1.1527
Epoch 1/3... Discriminator Loss: 0.9568... Generator Loss: 1.7988
Epoch 1/3... Discriminator Loss: 0.7498... Generator Loss: 1.8851
Epoch 1/3... Discriminator Loss: 1.0656... Generator Loss: 1.0559
Epoch 1/3... Discriminator Loss: 0.9117... Generator Loss: 0.9443
Epoch 1/3... Discriminator Loss: 1.0186... Generator Loss: 0.7442
Epoch 1/3... Discriminator Loss: 0.7937... Generator Loss: 1.3453
Epoch 1/3... Discriminator Loss: 0.7758... Generator Loss: 1.3594
Epoch 1/3... Discriminator Loss: 0.8816... Generator Loss: 2.8767
Epoch 1/3... Discriminator Loss: 0.6106... Generator Loss: 1.7671
Epoch 1/3... Discriminator Loss: 0.6567... Generator Loss: 2.0439
Epoch 1/3... Discriminator Loss: 1.5114... Generator Loss: 1.7999
Epoch 1/3... Discriminator Loss: 0.8367... Generator Loss: 1.1276
Epoch 1/3... Discriminator Loss: 1.1340... Generator Loss: 1.2380
Epoch 1/3... Discriminator Loss: 1.1766... Generator Loss: 0.7414
Epoch 1/3... Discriminator Loss: 0.7829... Generator Loss: 1.4083
Epoch 1/3... Discriminator Loss: 0.7193... Generator Loss: 1.3456
Epoch 1/3... Discriminator Loss: 1.1846... Generator Loss: 0.7573
Epoch 1/3... Discriminator Loss: 0.7242... Generator Loss: 1.4538
Epoch 1/3... Discriminator Loss: 1.3094... Generator Loss: 0.5032
Epoch 1/3... Discriminator Loss: 0.9187... Generator Loss: 1.6694
Epoch 1/3... Discriminator Loss: 0.8645... Generator Loss: 1.0496
Epoch 1/3... Discriminator Loss: 0.8957... Generator Loss: 1.0486
Epoch 1/3... Discriminator Loss: 1.0155... Generator Loss: 0.7405
Epoch 1/3... Discriminator Loss: 0.8580... Generator Loss: 1.2996
Epoch 1/3... Discriminator Loss: 0.8339... Generator Loss: 1.1540
Epoch 1/3... Discriminator Loss: 0.8384... Generator Loss: 2.0906
Epoch 1/3... Discriminator Loss: 0.8927... Generator Loss: 0.9291
Epoch 1/3... Discriminator Loss: 1.0552... Generator Loss: 0.8070
Epoch 1/3... Discriminator Loss: 1.4240... Generator Loss: 0.5925
Epoch 1/3... Discriminator Loss: 0.8259... Generator Loss: 1.2401
Epoch 1/3... Discriminator Loss: 1.0986... Generator Loss: 0.7679
Epoch 1/3... Discriminator Loss: 0.6944... Generator Loss: 1.6204
Epoch 1/3... Discriminator Loss: 0.8869... Generator Loss: 1.4615
Epoch 1/3... Discriminator Loss: 0.5553... Generator Loss: 2.3104
Epoch 1/3... Discriminator Loss: 0.8545... Generator Loss: 1.2319
Epoch 1/3... Discriminator Loss: 1.1991... Generator Loss: 1.2324
Epoch 1/3... Discriminator Loss: 0.9081... Generator Loss: 0.8959
Epoch 1/3... Discriminator Loss: 1.3232... Generator Loss: 0.4732
Epoch 1/3... Discriminator Loss: 1.3467... Generator Loss: 2.5009
Epoch 1/3... Discriminator Loss: 1.0407... Generator Loss: 1.6099
Epoch 1/3... Discriminator Loss: 1.0601... Generator Loss: 1.3273
Epoch 1/3... Discriminator Loss: 0.9243... Generator Loss: 0.8478
Epoch 1/3... Discriminator Loss: 1.4859... Generator Loss: 0.4272
Epoch 1/3... Discriminator Loss: 0.7990... Generator Loss: 1.0846
Epoch 1/3... Discriminator Loss: 1.1674... Generator Loss: 0.6390
Epoch 1/3... Discriminator Loss: 1.1157... Generator Loss: 1.0526
Epoch 1/3... Discriminator Loss: 0.8744... Generator Loss: 2.4201
Epoch 1/3... Discriminator Loss: 0.8729... Generator Loss: 1.3530
Epoch 1/3... Discriminator Loss: 0.9543... Generator Loss: 0.7999
Epoch 1/3... Discriminator Loss: 1.1702... Generator Loss: 0.7038
Epoch 1/3... Discriminator Loss: 0.6257... Generator Loss: 1.6498
Epoch 1/3... Discriminator Loss: 0.9592... Generator Loss: 1.0200
Epoch 1/3... Discriminator Loss: 0.8212... Generator Loss: 1.3253
Epoch 1/3... Discriminator Loss: 0.7574... Generator Loss: 1.0586
Epoch 1/3... Discriminator Loss: 0.9687... Generator Loss: 1.9945
Epoch 1/3... Discriminator Loss: 0.7728... Generator Loss: 1.0907
Epoch 1/3... Discriminator Loss: 1.0221... Generator Loss: 0.7487
Epoch 1/3... Discriminator Loss: 0.9426... Generator Loss: 1.3165
Epoch 1/3... Discriminator Loss: 1.4171... Generator Loss: 2.7236
Epoch 1/3... Discriminator Loss: 1.0384... Generator Loss: 0.8059
Epoch 1/3... Discriminator Loss: 0.8985... Generator Loss: 1.1537
Epoch 1/3... Discriminator Loss: 0.7728... Generator Loss: 1.4887
Epoch 1/3... Discriminator Loss: 0.7663... Generator Loss: 1.5983
Epoch 1/3... Discriminator Loss: 0.8975... Generator Loss: 0.8815
Epoch 1/3... Discriminator Loss: 0.8460... Generator Loss: 1.1060
Epoch 1/3... Discriminator Loss: 0.9678... Generator Loss: 1.4543
Epoch 1/3... Discriminator Loss: 1.2888... Generator Loss: 2.0235
Epoch 1/3... Discriminator Loss: 0.6321... Generator Loss: 1.8754
Epoch 1/3... Discriminator Loss: 1.0072... Generator Loss: 0.8180
Epoch 1/3... Discriminator Loss: 1.0510... Generator Loss: 1.1357
Epoch 1/3... Discriminator Loss: 1.0680... Generator Loss: 1.1822
Epoch 1/3... Discriminator Loss: 0.9501... Generator Loss: 0.7257
Epoch 1/3... Discriminator Loss: 1.2071... Generator Loss: 1.9781
Epoch 1/3... Discriminator Loss: 1.0227... Generator Loss: 1.6603
Epoch 1/3... Discriminator Loss: 1.0830... Generator Loss: 0.8324
Epoch 1/3... Discriminator Loss: 0.9317... Generator Loss: 1.5426
Epoch 1/3... Discriminator Loss: 0.9394... Generator Loss: 1.7332
Epoch 1/3... Discriminator Loss: 1.1150... Generator Loss: 1.1395
Epoch 1/3... Discriminator Loss: 1.0668... Generator Loss: 1.0660
Epoch 1/3... Discriminator Loss: 0.9232... Generator Loss: 0.7912
Epoch 1/3... Discriminator Loss: 1.0444... Generator Loss: 2.2498
Epoch 1/3... Discriminator Loss: 1.0157... Generator Loss: 0.8206
Epoch 1/3... Discriminator Loss: 0.7391... Generator Loss: 1.5821
Epoch 1/3... Discriminator Loss: 1.3414... Generator Loss: 0.7888
Epoch 1/3... Discriminator Loss: 1.1691... Generator Loss: 0.6695
Epoch 1/3... Discriminator Loss: 0.8798... Generator Loss: 1.2332
Epoch 1/3... Discriminator Loss: 0.8805... Generator Loss: 1.7134
Epoch 1/3... Discriminator Loss: 1.1411... Generator Loss: 2.2878
Epoch 1/3... Discriminator Loss: 0.9827... Generator Loss: 2.0489
Epoch 1/3... Discriminator Loss: 1.2483... Generator Loss: 0.5512
Epoch 1/3... Discriminator Loss: 0.8565... Generator Loss: 0.8598
Epoch 1/3... Discriminator Loss: 0.9845... Generator Loss: 1.4809
Epoch 1/3... Discriminator Loss: 1.4600... Generator Loss: 1.3476
Epoch 1/3... Discriminator Loss: 0.8437... Generator Loss: 1.7726
Epoch 1/3... Discriminator Loss: 1.2199... Generator Loss: 0.8999
Epoch 1/3... Discriminator Loss: 1.1759... Generator Loss: 0.7835
Epoch 1/3... Discriminator Loss: 1.0839... Generator Loss: 0.9448
Epoch 1/3... Discriminator Loss: 0.9224... Generator Loss: 1.0646
Epoch 1/3... Discriminator Loss: 0.9274... Generator Loss: 1.2306
Epoch 1/3... Discriminator Loss: 0.9143... Generator Loss: 1.0498
Epoch 1/3... Discriminator Loss: 0.6388... Generator Loss: 1.7406
Epoch 1/3... Discriminator Loss: 0.9534... Generator Loss: 1.8519
Epoch 1/3... Discriminator Loss: 0.8981... Generator Loss: 0.8796
Epoch 1/3... Discriminator Loss: 1.3220... Generator Loss: 0.5285
Epoch 1/3... Discriminator Loss: 0.9364... Generator Loss: 0.8576
Epoch 1/3... Discriminator Loss: 1.6834... Generator Loss: 0.3233
Epoch 1/3... Discriminator Loss: 0.7649... Generator Loss: 1.1748
Epoch 1/3... Discriminator Loss: 0.8575... Generator Loss: 1.2098
Epoch 1/3... Discriminator Loss: 1.0912... Generator Loss: 0.9306
Epoch 1/3... Discriminator Loss: 0.7474... Generator Loss: 1.0664
Epoch 1/3... Discriminator Loss: 0.8536... Generator Loss: 1.2178
Epoch 1/3... Discriminator Loss: 1.0816... Generator Loss: 1.2446
Epoch 1/3... Discriminator Loss: 1.0185... Generator Loss: 1.4676
Epoch 1/3... Discriminator Loss: 1.1136... Generator Loss: 1.0289
Epoch 1/3... Discriminator Loss: 1.1607... Generator Loss: 0.9358
Epoch 1/3... Discriminator Loss: 0.9830... Generator Loss: 0.9394
Epoch 1/3... Discriminator Loss: 1.0581... Generator Loss: 1.2278
Epoch 1/3... Discriminator Loss: 0.9798... Generator Loss: 1.2966
Epoch 1/3... Discriminator Loss: 1.0631... Generator Loss: 0.8423
Epoch 1/3... Discriminator Loss: 1.0570... Generator Loss: 0.7034
Epoch 1/3... Discriminator Loss: 1.0590... Generator Loss: 0.7952
Epoch 1/3... Discriminator Loss: 0.9878... Generator Loss: 1.6473
Epoch 1/3... Discriminator Loss: 0.9311... Generator Loss: 1.5019
Epoch 1/3... Discriminator Loss: 1.2591... Generator Loss: 0.6627
Epoch 1/3... Discriminator Loss: 1.1064... Generator Loss: 0.6974
Epoch 1/3... Discriminator Loss: 1.0319... Generator Loss: 0.8791
Epoch 1/3... Discriminator Loss: 1.1506... Generator Loss: 0.9054
Epoch 1/3... Discriminator Loss: 1.1270... Generator Loss: 0.7012
Epoch 1/3... Discriminator Loss: 1.1359... Generator Loss: 0.7139
Epoch 1/3... Discriminator Loss: 0.9807... Generator Loss: 0.9476
Epoch 1/3... Discriminator Loss: 1.2491... Generator Loss: 1.0177
Epoch 1/3... Discriminator Loss: 1.1470... Generator Loss: 0.7186
Epoch 1/3... Discriminator Loss: 1.0324... Generator Loss: 0.8371
Epoch 1/3... Discriminator Loss: 0.8900... Generator Loss: 0.9387
Epoch 1/3... Discriminator Loss: 1.2418... Generator Loss: 0.5118
Epoch 1/3... Discriminator Loss: 1.0247... Generator Loss: 0.9279
Epoch 1/3... Discriminator Loss: 0.9166... Generator Loss: 0.8536
Epoch 1/3... Discriminator Loss: 1.2010... Generator Loss: 0.6106
Epoch 1/3... Discriminator Loss: 1.0266... Generator Loss: 0.7202
Epoch 1/3... Discriminator Loss: 1.0062... Generator Loss: 1.2278
Epoch 1/3... Discriminator Loss: 1.1069... Generator Loss: 0.9336
Epoch 1/3... Discriminator Loss: 0.8992... Generator Loss: 0.9811
Epoch 1/3... Discriminator Loss: 0.9331... Generator Loss: 1.3338
Epoch 1/3... Discriminator Loss: 1.3058... Generator Loss: 0.6330
Epoch 1/3... Discriminator Loss: 1.0440... Generator Loss: 0.9961
Epoch 1/3... Discriminator Loss: 0.9275... Generator Loss: 1.0860
Epoch 1/3... Discriminator Loss: 0.8112... Generator Loss: 1.5474
Epoch 1/3... Discriminator Loss: 1.1475... Generator Loss: 1.0179
Epoch 1/3... Discriminator Loss: 1.0312... Generator Loss: 0.8061
Epoch 1/3... Discriminator Loss: 1.2184... Generator Loss: 1.7066
Epoch 1/3... Discriminator Loss: 1.2430... Generator Loss: 0.4879
Epoch 1/3... Discriminator Loss: 1.2172... Generator Loss: 0.7316
Epoch 1/3... Discriminator Loss: 1.1779... Generator Loss: 0.6698
Epoch 1/3... Discriminator Loss: 0.7481... Generator Loss: 1.1485
Epoch 1/3... Discriminator Loss: 1.1988... Generator Loss: 1.5540
Epoch 1/3... Discriminator Loss: 1.2328... Generator Loss: 0.5965
Epoch 1/3... Discriminator Loss: 1.4339... Generator Loss: 0.4855
Epoch 1/3... Discriminator Loss: 0.8761... Generator Loss: 1.1034
Epoch 1/3... Discriminator Loss: 0.8003... Generator Loss: 1.2328
Epoch 1/3... Discriminator Loss: 1.3140... Generator Loss: 0.5568
Epoch 1/3... Discriminator Loss: 0.8749... Generator Loss: 0.9878
Epoch 1/3... Discriminator Loss: 0.8584... Generator Loss: 1.1367
Epoch 1/3... Discriminator Loss: 1.0328... Generator Loss: 0.9887
Epoch 1/3... Discriminator Loss: 1.2096... Generator Loss: 0.5955
Epoch 1/3... Discriminator Loss: 0.9186... Generator Loss: 1.0034
Epoch 1/3... Discriminator Loss: 0.8644... Generator Loss: 0.8370
Epoch 1/3... Discriminator Loss: 0.8806... Generator Loss: 1.0367
Epoch 2/3... Discriminator Loss: 1.0970... Generator Loss: 1.6675
Epoch 2/3... Discriminator Loss: 0.9177... Generator Loss: 2.1266
Epoch 2/3... Discriminator Loss: 1.3598... Generator Loss: 0.4855
Epoch 2/3... Discriminator Loss: 0.9790... Generator Loss: 1.1648
Epoch 2/3... Discriminator Loss: 1.1656... Generator Loss: 0.5415
Epoch 2/3... Discriminator Loss: 1.0599... Generator Loss: 2.1806
Epoch 2/3... Discriminator Loss: 1.1750... Generator Loss: 0.8736
Epoch 2/3... Discriminator Loss: 1.3300... Generator Loss: 1.5990
Epoch 2/3... Discriminator Loss: 1.2235... Generator Loss: 0.9823
Epoch 2/3... Discriminator Loss: 1.4727... Generator Loss: 1.3958
Epoch 2/3... Discriminator Loss: 0.9412... Generator Loss: 0.7195
Epoch 2/3... Discriminator Loss: 0.9728... Generator Loss: 1.9236
Epoch 2/3... Discriminator Loss: 1.1124... Generator Loss: 1.1446
Epoch 2/3... Discriminator Loss: 1.1467... Generator Loss: 0.7928
Epoch 2/3... Discriminator Loss: 1.0840... Generator Loss: 0.8377
Epoch 2/3... Discriminator Loss: 0.7066... Generator Loss: 1.5463
Epoch 2/3... Discriminator Loss: 0.9643... Generator Loss: 1.2049
Epoch 2/3... Discriminator Loss: 0.9501... Generator Loss: 1.8994
Epoch 2/3... Discriminator Loss: 1.2095... Generator Loss: 1.9977
Epoch 2/3... Discriminator Loss: 0.7618... Generator Loss: 1.4170
Epoch 2/3... Discriminator Loss: 0.8929... Generator Loss: 0.9836
Epoch 2/3... Discriminator Loss: 1.2792... Generator Loss: 0.9194
Epoch 2/3... Discriminator Loss: 1.1266... Generator Loss: 0.6893
Epoch 2/3... Discriminator Loss: 1.0694... Generator Loss: 0.7263
Epoch 2/3... Discriminator Loss: 0.8138... Generator Loss: 1.2079
Epoch 2/3... Discriminator Loss: 0.8566... Generator Loss: 1.3801
Epoch 2/3... Discriminator Loss: 0.9600... Generator Loss: 1.1943
Epoch 2/3... Discriminator Loss: 0.8609... Generator Loss: 1.2065
Epoch 2/3... Discriminator Loss: 0.8069... Generator Loss: 1.4313
Epoch 2/3... Discriminator Loss: 0.9963... Generator Loss: 1.0521
Epoch 2/3... Discriminator Loss: 1.0332... Generator Loss: 1.1097
Epoch 2/3... Discriminator Loss: 1.0325... Generator Loss: 0.8853
Epoch 2/3... Discriminator Loss: 1.2721... Generator Loss: 1.1209
Epoch 2/3... Discriminator Loss: 1.2875... Generator Loss: 2.1283
Epoch 2/3... Discriminator Loss: 0.7358... Generator Loss: 1.4807
Epoch 2/3... Discriminator Loss: 1.2137... Generator Loss: 0.6327
Epoch 2/3... Discriminator Loss: 1.1352... Generator Loss: 1.3832
Epoch 2/3... Discriminator Loss: 1.1765... Generator Loss: 0.8132
Epoch 2/3... Discriminator Loss: 0.8793... Generator Loss: 1.2569
Epoch 2/3... Discriminator Loss: 1.6776... Generator Loss: 0.3879
Epoch 2/3... Discriminator Loss: 1.5324... Generator Loss: 0.3690
Epoch 2/3... Discriminator Loss: 0.9876... Generator Loss: 1.1841
Epoch 2/3... Discriminator Loss: 1.0197... Generator Loss: 1.6516
Epoch 2/3... Discriminator Loss: 0.9181... Generator Loss: 1.1299
Epoch 2/3... Discriminator Loss: 0.9443... Generator Loss: 1.1443
Epoch 2/3... Discriminator Loss: 0.9957... Generator Loss: 1.5673
Epoch 2/3... Discriminator Loss: 1.2969... Generator Loss: 0.5534
Epoch 2/3... Discriminator Loss: 1.0469... Generator Loss: 0.9271
Epoch 2/3... Discriminator Loss: 1.0003... Generator Loss: 1.6299
Epoch 2/3... Discriminator Loss: 1.4322... Generator Loss: 0.4853
Epoch 2/3... Discriminator Loss: 0.7913... Generator Loss: 1.2942
Epoch 2/3... Discriminator Loss: 1.1833... Generator Loss: 1.5289
Epoch 2/3... Discriminator Loss: 1.2879... Generator Loss: 0.5170
Epoch 2/3... Discriminator Loss: 1.0756... Generator Loss: 0.8036
Epoch 2/3... Discriminator Loss: 1.1198... Generator Loss: 0.8945
Epoch 2/3... Discriminator Loss: 1.2178... Generator Loss: 0.5405
Epoch 2/3... Discriminator Loss: 1.0136... Generator Loss: 0.7053
Epoch 2/3... Discriminator Loss: 0.8453... Generator Loss: 0.9704
Epoch 2/3... Discriminator Loss: 1.0966... Generator Loss: 0.5593
Epoch 2/3... Discriminator Loss: 1.4730... Generator Loss: 1.7869
Epoch 2/3... Discriminator Loss: 0.9515... Generator Loss: 0.7781
Epoch 2/3... Discriminator Loss: 1.2097... Generator Loss: 0.5694
Epoch 2/3... Discriminator Loss: 0.9855... Generator Loss: 0.8377
Epoch 2/3... Discriminator Loss: 1.0366... Generator Loss: 0.7845
Epoch 2/3... Discriminator Loss: 0.9831... Generator Loss: 0.7768
Epoch 2/3... Discriminator Loss: 0.8988... Generator Loss: 1.2179
Epoch 2/3... Discriminator Loss: 1.1587... Generator Loss: 0.6096
Epoch 2/3... Discriminator Loss: 0.9469... Generator Loss: 0.8640
Epoch 2/3... Discriminator Loss: 1.4322... Generator Loss: 1.6332
Epoch 2/3... Discriminator Loss: 1.4569... Generator Loss: 0.5053
Epoch 2/3... Discriminator Loss: 1.5248... Generator Loss: 1.3711
Epoch 2/3... Discriminator Loss: 0.9232... Generator Loss: 0.9500
Epoch 2/3... Discriminator Loss: 0.7977... Generator Loss: 1.3242
Epoch 2/3... Discriminator Loss: 1.0096... Generator Loss: 0.8852
Epoch 2/3... Discriminator Loss: 0.9609... Generator Loss: 1.9854
Epoch 2/3... Discriminator Loss: 1.1266... Generator Loss: 0.9396
Epoch 2/3... Discriminator Loss: 0.7817... Generator Loss: 0.9948
Epoch 2/3... Discriminator Loss: 0.6804... Generator Loss: 1.6675
Epoch 2/3... Discriminator Loss: 1.0551... Generator Loss: 2.6639
Epoch 2/3... Discriminator Loss: 1.1012... Generator Loss: 0.7327
Epoch 2/3... Discriminator Loss: 0.6467... Generator Loss: 1.5522
Epoch 2/3... Discriminator Loss: 1.1818... Generator Loss: 0.4986
Epoch 2/3... Discriminator Loss: 1.1245... Generator Loss: 1.6320
Epoch 2/3... Discriminator Loss: 1.1287... Generator Loss: 0.8711
Epoch 2/3... Discriminator Loss: 0.8857... Generator Loss: 1.5807
Epoch 2/3... Discriminator Loss: 0.8147... Generator Loss: 1.3138
Epoch 2/3... Discriminator Loss: 0.8654... Generator Loss: 1.0904
Epoch 2/3... Discriminator Loss: 1.0065... Generator Loss: 0.8133
Epoch 2/3... Discriminator Loss: 0.7626... Generator Loss: 2.0469
Epoch 2/3... Discriminator Loss: 1.0624... Generator Loss: 0.8466
Epoch 2/3... Discriminator Loss: 0.9638... Generator Loss: 0.9936
Epoch 2/3... Discriminator Loss: 1.2539... Generator Loss: 0.5835
Epoch 2/3... Discriminator Loss: 0.8495... Generator Loss: 1.0605
Epoch 2/3... Discriminator Loss: 0.8372... Generator Loss: 1.3258
Epoch 2/3... Discriminator Loss: 0.8627... Generator Loss: 1.1343
Epoch 2/3... Discriminator Loss: 1.0124... Generator Loss: 1.0598
Epoch 2/3... Discriminator Loss: 0.9428... Generator Loss: 1.0035
Epoch 2/3... Discriminator Loss: 0.9222... Generator Loss: 1.5082
Epoch 2/3... Discriminator Loss: 1.0386... Generator Loss: 0.8263
Epoch 2/3... Discriminator Loss: 1.3136... Generator Loss: 0.9073
Epoch 2/3... Discriminator Loss: 1.2761... Generator Loss: 0.5150
Epoch 2/3... Discriminator Loss: 1.0526... Generator Loss: 1.0908
Epoch 2/3... Discriminator Loss: 1.2237... Generator Loss: 1.0728
Epoch 2/3... Discriminator Loss: 1.2658... Generator Loss: 0.8575
Epoch 2/3... Discriminator Loss: 1.0675... Generator Loss: 0.8326
Epoch 2/3... Discriminator Loss: 0.9368... Generator Loss: 1.1963
Epoch 2/3... Discriminator Loss: 1.0705... Generator Loss: 0.8057
Epoch 2/3... Discriminator Loss: 1.2517... Generator Loss: 1.3142
Epoch 2/3... Discriminator Loss: 0.9456... Generator Loss: 0.9236
Epoch 2/3... Discriminator Loss: 1.2922... Generator Loss: 0.5646
Epoch 2/3... Discriminator Loss: 0.8529... Generator Loss: 1.3993
Epoch 2/3... Discriminator Loss: 1.0299... Generator Loss: 0.8819
Epoch 2/3... Discriminator Loss: 1.2186... Generator Loss: 0.7053
Epoch 2/3... Discriminator Loss: 1.1412... Generator Loss: 0.9577
Epoch 2/3... Discriminator Loss: 1.1829... Generator Loss: 0.6533
Epoch 2/3... Discriminator Loss: 1.1132... Generator Loss: 0.6896
Epoch 2/3... Discriminator Loss: 1.2889... Generator Loss: 0.5520
Epoch 2/3... Discriminator Loss: 1.0372... Generator Loss: 0.7975
Epoch 2/3... Discriminator Loss: 1.4106... Generator Loss: 0.4402
Epoch 2/3... Discriminator Loss: 1.2409... Generator Loss: 1.0530
Epoch 2/3... Discriminator Loss: 0.9426... Generator Loss: 1.2158
Epoch 2/3... Discriminator Loss: 0.8907... Generator Loss: 1.0018
Epoch 2/3... Discriminator Loss: 1.1207... Generator Loss: 1.3740
Epoch 2/3... Discriminator Loss: 1.0518... Generator Loss: 1.3944
Epoch 2/3... Discriminator Loss: 1.1212... Generator Loss: 0.7704
Epoch 2/3... Discriminator Loss: 0.8229... Generator Loss: 1.2711
Epoch 2/3... Discriminator Loss: 1.0553... Generator Loss: 1.0490
Epoch 2/3... Discriminator Loss: 1.1427... Generator Loss: 0.6719
Epoch 2/3... Discriminator Loss: 0.9795... Generator Loss: 1.1305
Epoch 2/3... Discriminator Loss: 1.6315... Generator Loss: 0.3244
Epoch 2/3... Discriminator Loss: 0.8265... Generator Loss: 1.4050
Epoch 2/3... Discriminator Loss: 1.1071... Generator Loss: 0.7043
Epoch 2/3... Discriminator Loss: 1.0015... Generator Loss: 1.0398
Epoch 2/3... Discriminator Loss: 1.3026... Generator Loss: 0.5133
Epoch 2/3... Discriminator Loss: 1.2721... Generator Loss: 0.5261
Epoch 2/3... Discriminator Loss: 1.1066... Generator Loss: 1.3778
Epoch 2/3... Discriminator Loss: 1.2012... Generator Loss: 0.7953
Epoch 2/3... Discriminator Loss: 0.9122... Generator Loss: 1.4939
Epoch 2/3... Discriminator Loss: 1.2112... Generator Loss: 0.7495
Epoch 2/3... Discriminator Loss: 0.9061... Generator Loss: 1.3388
Epoch 2/3... Discriminator Loss: 1.0794... Generator Loss: 0.8458
Epoch 2/3... Discriminator Loss: 1.2492... Generator Loss: 0.6206
Epoch 2/3... Discriminator Loss: 0.9740... Generator Loss: 0.8168
Epoch 2/3... Discriminator Loss: 0.9938... Generator Loss: 1.1708
Epoch 2/3... Discriminator Loss: 1.1982... Generator Loss: 1.1528
Epoch 2/3... Discriminator Loss: 0.9194... Generator Loss: 1.0092
Epoch 2/3... Discriminator Loss: 1.2055... Generator Loss: 1.0511
Epoch 2/3... Discriminator Loss: 1.1658... Generator Loss: 0.7897
Epoch 2/3... Discriminator Loss: 1.2764... Generator Loss: 0.5484
Epoch 2/3... Discriminator Loss: 0.9492... Generator Loss: 1.1456
Epoch 2/3... Discriminator Loss: 1.0013... Generator Loss: 1.2963
Epoch 2/3... Discriminator Loss: 1.2264... Generator Loss: 1.1007
Epoch 2/3... Discriminator Loss: 0.8983... Generator Loss: 1.3890
Epoch 2/3... Discriminator Loss: 1.2126... Generator Loss: 0.6070
Epoch 2/3... Discriminator Loss: 1.1588... Generator Loss: 0.7029
Epoch 2/3... Discriminator Loss: 1.0219... Generator Loss: 1.2397
Epoch 2/3... Discriminator Loss: 1.0794... Generator Loss: 0.8163
Epoch 2/3... Discriminator Loss: 1.0728... Generator Loss: 0.8240
Epoch 2/3... Discriminator Loss: 0.9533... Generator Loss: 1.3265
Epoch 2/3... Discriminator Loss: 1.1768... Generator Loss: 0.7921
Epoch 2/3... Discriminator Loss: 1.0508... Generator Loss: 0.7567
Epoch 2/3... Discriminator Loss: 0.8638... Generator Loss: 1.1767
Epoch 2/3... Discriminator Loss: 1.0867... Generator Loss: 1.0595
Epoch 2/3... Discriminator Loss: 1.0867... Generator Loss: 1.2269
Epoch 2/3... Discriminator Loss: 1.1036... Generator Loss: 0.9138
Epoch 2/3... Discriminator Loss: 1.0820... Generator Loss: 1.0866
Epoch 2/3... Discriminator Loss: 1.1311... Generator Loss: 0.6150
Epoch 2/3... Discriminator Loss: 1.3044... Generator Loss: 0.5466
Epoch 2/3... Discriminator Loss: 1.0324... Generator Loss: 0.8572
Epoch 2/3... Discriminator Loss: 1.5414... Generator Loss: 0.4205
Epoch 2/3... Discriminator Loss: 1.2109... Generator Loss: 0.6665
Epoch 2/3... Discriminator Loss: 0.9002... Generator Loss: 1.0864
Epoch 2/3... Discriminator Loss: 0.7041... Generator Loss: 2.0934
Epoch 2/3... Discriminator Loss: 0.9459... Generator Loss: 0.8928
Epoch 2/3... Discriminator Loss: 1.1375... Generator Loss: 1.4600
Epoch 2/3... Discriminator Loss: 1.4474... Generator Loss: 0.9783
Epoch 2/3... Discriminator Loss: 1.0825... Generator Loss: 1.3280
Epoch 2/3... Discriminator Loss: 1.2052... Generator Loss: 1.1232
Epoch 2/3... Discriminator Loss: 1.2707... Generator Loss: 0.5163
Epoch 2/3... Discriminator Loss: 1.0277... Generator Loss: 1.1615
Epoch 2/3... Discriminator Loss: 1.1430... Generator Loss: 1.0600
Epoch 2/3... Discriminator Loss: 0.8854... Generator Loss: 0.9868
Epoch 2/3... Discriminator Loss: 1.2138... Generator Loss: 0.5365
Epoch 2/3... Discriminator Loss: 1.0798... Generator Loss: 0.6180
Epoch 2/3... Discriminator Loss: 1.1166... Generator Loss: 0.6352
Epoch 2/3... Discriminator Loss: 0.8312... Generator Loss: 0.9745
Epoch 2/3... Discriminator Loss: 0.8500... Generator Loss: 1.3394
Epoch 2/3... Discriminator Loss: 1.1361... Generator Loss: 0.6264
Epoch 2/3... Discriminator Loss: 1.1499... Generator Loss: 0.6338
Epoch 2/3... Discriminator Loss: 1.4142... Generator Loss: 0.3922
Epoch 2/3... Discriminator Loss: 1.1716... Generator Loss: 0.6994
Epoch 2/3... Discriminator Loss: 1.2670... Generator Loss: 0.5756
Epoch 2/3... Discriminator Loss: 0.7087... Generator Loss: 1.0260
Epoch 2/3... Discriminator Loss: 0.8970... Generator Loss: 0.9792
Epoch 2/3... Discriminator Loss: 0.9755... Generator Loss: 2.0186
Epoch 2/3... Discriminator Loss: 1.2412... Generator Loss: 0.5448
Epoch 2/3... Discriminator Loss: 1.4500... Generator Loss: 0.5034
Epoch 2/3... Discriminator Loss: 1.0894... Generator Loss: 1.2627
Epoch 2/3... Discriminator Loss: 1.0763... Generator Loss: 1.2323
Epoch 2/3... Discriminator Loss: 0.9687... Generator Loss: 0.8576
Epoch 2/3... Discriminator Loss: 1.2001... Generator Loss: 0.7245
Epoch 2/3... Discriminator Loss: 1.2903... Generator Loss: 1.4660
Epoch 2/3... Discriminator Loss: 1.1811... Generator Loss: 0.9556
Epoch 2/3... Discriminator Loss: 1.1804... Generator Loss: 0.9544
Epoch 2/3... Discriminator Loss: 1.1469... Generator Loss: 0.8005
Epoch 2/3... Discriminator Loss: 1.1852... Generator Loss: 0.6449
Epoch 2/3... Discriminator Loss: 1.3227... Generator Loss: 0.6771
Epoch 2/3... Discriminator Loss: 1.1175... Generator Loss: 1.0709
Epoch 2/3... Discriminator Loss: 1.0727... Generator Loss: 0.9712
Epoch 2/3... Discriminator Loss: 1.2150... Generator Loss: 0.6412
Epoch 2/3... Discriminator Loss: 1.0527... Generator Loss: 0.9056
Epoch 2/3... Discriminator Loss: 1.1907... Generator Loss: 0.8572
Epoch 2/3... Discriminator Loss: 0.8480... Generator Loss: 1.3963
Epoch 2/3... Discriminator Loss: 0.9389... Generator Loss: 1.0485
Epoch 2/3... Discriminator Loss: 1.2965... Generator Loss: 0.5445
Epoch 2/3... Discriminator Loss: 0.9478... Generator Loss: 1.0273
Epoch 2/3... Discriminator Loss: 1.2045... Generator Loss: 1.2211
Epoch 2/3... Discriminator Loss: 1.2537... Generator Loss: 0.7124
Epoch 2/3... Discriminator Loss: 1.1070... Generator Loss: 0.8159
Epoch 2/3... Discriminator Loss: 1.4704... Generator Loss: 0.4691
Epoch 2/3... Discriminator Loss: 1.2554... Generator Loss: 0.6511
Epoch 2/3... Discriminator Loss: 1.2641... Generator Loss: 0.5824
Epoch 2/3... Discriminator Loss: 1.2172... Generator Loss: 1.5833
Epoch 2/3... Discriminator Loss: 1.0790... Generator Loss: 0.8758
Epoch 2/3... Discriminator Loss: 1.1552... Generator Loss: 0.6560
Epoch 2/3... Discriminator Loss: 1.1631... Generator Loss: 0.7100
Epoch 2/3... Discriminator Loss: 1.0427... Generator Loss: 0.8238
Epoch 2/3... Discriminator Loss: 1.5158... Generator Loss: 0.3926
Epoch 2/3... Discriminator Loss: 0.9560... Generator Loss: 1.4216
Epoch 2/3... Discriminator Loss: 0.9707... Generator Loss: 0.9227
Epoch 2/3... Discriminator Loss: 1.3531... Generator Loss: 1.1738
Epoch 2/3... Discriminator Loss: 1.0020... Generator Loss: 0.7956
Epoch 2/3... Discriminator Loss: 1.0374... Generator Loss: 1.3227
Epoch 2/3... Discriminator Loss: 1.1596... Generator Loss: 0.9247
Epoch 2/3... Discriminator Loss: 1.0479... Generator Loss: 0.9542
Epoch 2/3... Discriminator Loss: 1.1244... Generator Loss: 0.7100
Epoch 2/3... Discriminator Loss: 1.3671... Generator Loss: 0.4689
Epoch 2/3... Discriminator Loss: 1.0441... Generator Loss: 0.7476
Epoch 2/3... Discriminator Loss: 1.2508... Generator Loss: 1.1005
Epoch 2/3... Discriminator Loss: 1.0992... Generator Loss: 0.7582
Epoch 2/3... Discriminator Loss: 1.2336... Generator Loss: 0.6216
Epoch 2/3... Discriminator Loss: 1.1939... Generator Loss: 0.6208
Epoch 2/3... Discriminator Loss: 1.1479... Generator Loss: 0.7693
Epoch 2/3... Discriminator Loss: 1.4509... Generator Loss: 0.4587
Epoch 2/3... Discriminator Loss: 1.2198... Generator Loss: 1.4949
Epoch 2/3... Discriminator Loss: 1.0723... Generator Loss: 0.9430
Epoch 2/3... Discriminator Loss: 1.0779... Generator Loss: 1.2193
Epoch 2/3... Discriminator Loss: 1.0312... Generator Loss: 0.8702
Epoch 2/3... Discriminator Loss: 1.2342... Generator Loss: 0.9919
Epoch 2/3... Discriminator Loss: 1.0474... Generator Loss: 0.7761
Epoch 2/3... Discriminator Loss: 1.3579... Generator Loss: 0.4837
Epoch 2/3... Discriminator Loss: 1.0119... Generator Loss: 0.8169
Epoch 2/3... Discriminator Loss: 1.3365... Generator Loss: 1.5292
Epoch 2/3... Discriminator Loss: 1.1265... Generator Loss: 0.7338
Epoch 2/3... Discriminator Loss: 1.8134... Generator Loss: 0.2466
Epoch 2/3... Discriminator Loss: 1.1096... Generator Loss: 0.9927
Epoch 2/3... Discriminator Loss: 1.0543... Generator Loss: 0.9128
Epoch 2/3... Discriminator Loss: 1.0191... Generator Loss: 1.3784
Epoch 2/3... Discriminator Loss: 1.3874... Generator Loss: 0.4898
Epoch 2/3... Discriminator Loss: 0.8910... Generator Loss: 0.9766
Epoch 2/3... Discriminator Loss: 1.0707... Generator Loss: 0.9760
Epoch 2/3... Discriminator Loss: 1.1179... Generator Loss: 1.1009
Epoch 2/3... Discriminator Loss: 0.6647... Generator Loss: 1.4100
Epoch 2/3... Discriminator Loss: 1.2623... Generator Loss: 1.9550
Epoch 2/3... Discriminator Loss: 1.2635... Generator Loss: 0.5029
Epoch 2/3... Discriminator Loss: 0.4860... Generator Loss: 1.6885
Epoch 2/3... Discriminator Loss: 1.3623... Generator Loss: 0.4119
Epoch 2/3... Discriminator Loss: 1.2499... Generator Loss: 0.6796
Epoch 2/3... Discriminator Loss: 0.9465... Generator Loss: 0.9878
Epoch 2/3... Discriminator Loss: 0.9159... Generator Loss: 1.0873
Epoch 2/3... Discriminator Loss: 1.0142... Generator Loss: 0.7349
Epoch 2/3... Discriminator Loss: 1.1867... Generator Loss: 0.9806
Epoch 2/3... Discriminator Loss: 1.3290... Generator Loss: 1.3578
Epoch 2/3... Discriminator Loss: 1.1992... Generator Loss: 0.6527
Epoch 2/3... Discriminator Loss: 1.1967... Generator Loss: 0.7312
Epoch 2/3... Discriminator Loss: 1.0705... Generator Loss: 0.8583
Epoch 2/3... Discriminator Loss: 1.1337... Generator Loss: 0.9026
Epoch 2/3... Discriminator Loss: 1.0408... Generator Loss: 0.7943
Epoch 2/3... Discriminator Loss: 1.1525... Generator Loss: 0.9883
Epoch 2/3... Discriminator Loss: 0.9430... Generator Loss: 1.2468
Epoch 2/3... Discriminator Loss: 1.1206... Generator Loss: 0.6074
Epoch 2/3... Discriminator Loss: 1.0970... Generator Loss: 0.7979
Epoch 2/3... Discriminator Loss: 1.1305... Generator Loss: 0.8698
Epoch 2/3... Discriminator Loss: 1.1734... Generator Loss: 0.8285
Epoch 2/3... Discriminator Loss: 1.2720... Generator Loss: 0.8105
Epoch 2/3... Discriminator Loss: 1.0698... Generator Loss: 0.8995
Epoch 2/3... Discriminator Loss: 1.1794... Generator Loss: 0.9198
Epoch 2/3... Discriminator Loss: 1.2212... Generator Loss: 1.0113
Epoch 2/3... Discriminator Loss: 1.2309... Generator Loss: 1.0057
Epoch 2/3... Discriminator Loss: 1.0242... Generator Loss: 0.8535
Epoch 2/3... Discriminator Loss: 1.0790... Generator Loss: 1.2410
Epoch 2/3... Discriminator Loss: 1.1075... Generator Loss: 0.9435
Epoch 2/3... Discriminator Loss: 1.2560... Generator Loss: 0.5908
Epoch 2/3... Discriminator Loss: 1.1546... Generator Loss: 1.1879
Epoch 2/3... Discriminator Loss: 1.3250... Generator Loss: 0.5872
Epoch 2/3... Discriminator Loss: 1.2024... Generator Loss: 1.0997
Epoch 2/3... Discriminator Loss: 0.8558... Generator Loss: 1.1064
Epoch 2/3... Discriminator Loss: 1.3345... Generator Loss: 0.6044
Epoch 2/3... Discriminator Loss: 1.2690... Generator Loss: 0.5507
Epoch 2/3... Discriminator Loss: 1.4660... Generator Loss: 0.4382
Epoch 2/3... Discriminator Loss: 1.1001... Generator Loss: 0.8990
Epoch 2/3... Discriminator Loss: 1.0840... Generator Loss: 1.5410
Epoch 2/3... Discriminator Loss: 1.3727... Generator Loss: 0.6080
Epoch 2/3... Discriminator Loss: 0.9919... Generator Loss: 0.8642
Epoch 2/3... Discriminator Loss: 1.1017... Generator Loss: 0.7500
Epoch 2/3... Discriminator Loss: 1.2128... Generator Loss: 0.6310
Epoch 2/3... Discriminator Loss: 1.1981... Generator Loss: 0.5522
Epoch 2/3... Discriminator Loss: 1.2054... Generator Loss: 1.2950
Epoch 2/3... Discriminator Loss: 1.0796... Generator Loss: 0.8661
Epoch 2/3... Discriminator Loss: 1.1265... Generator Loss: 1.1496
Epoch 2/3... Discriminator Loss: 1.1220... Generator Loss: 0.7190
Epoch 2/3... Discriminator Loss: 1.1501... Generator Loss: 0.7128
Epoch 2/3... Discriminator Loss: 1.1065... Generator Loss: 0.8629
Epoch 2/3... Discriminator Loss: 0.9617... Generator Loss: 1.5534
Epoch 2/3... Discriminator Loss: 1.1651... Generator Loss: 1.2093
Epoch 2/3... Discriminator Loss: 1.0144... Generator Loss: 0.7656
Epoch 2/3... Discriminator Loss: 1.1840... Generator Loss: 0.9266
Epoch 3/3... Discriminator Loss: 1.2669... Generator Loss: 2.7084
Epoch 3/3... Discriminator Loss: 0.8248... Generator Loss: 1.1773
Epoch 3/3... Discriminator Loss: 0.8149... Generator Loss: 1.5153
Epoch 3/3... Discriminator Loss: 1.1238... Generator Loss: 0.8616
Epoch 3/3... Discriminator Loss: 0.7711... Generator Loss: 1.5201
Epoch 3/3... Discriminator Loss: 0.6067... Generator Loss: 1.1328
Epoch 3/3... Discriminator Loss: 1.3347... Generator Loss: 0.7757
Epoch 3/3... Discriminator Loss: 1.1785... Generator Loss: 0.9946
Epoch 3/3... Discriminator Loss: 1.4512... Generator Loss: 0.7247
Epoch 3/3... Discriminator Loss: 0.8751... Generator Loss: 1.2903
Epoch 3/3... Discriminator Loss: 1.2620... Generator Loss: 0.8727
Epoch 3/3... Discriminator Loss: 1.3668... Generator Loss: 1.0302
Epoch 3/3... Discriminator Loss: 1.2597... Generator Loss: 0.6481
Epoch 3/3... Discriminator Loss: 1.3931... Generator Loss: 0.5200
Epoch 3/3... Discriminator Loss: 1.0647... Generator Loss: 1.3976
Epoch 3/3... Discriminator Loss: 1.2298... Generator Loss: 0.6713
Epoch 3/3... Discriminator Loss: 1.1363... Generator Loss: 0.7123
Epoch 3/3... Discriminator Loss: 1.1789... Generator Loss: 0.8120
Epoch 3/3... Discriminator Loss: 1.0287... Generator Loss: 1.2002
Epoch 3/3... Discriminator Loss: 1.2178... Generator Loss: 0.6876
Epoch 3/3... Discriminator Loss: 1.1175... Generator Loss: 0.7611
Epoch 3/3... Discriminator Loss: 1.2121... Generator Loss: 0.8239
Epoch 3/3... Discriminator Loss: 1.2916... Generator Loss: 0.5934
Epoch 3/3... Discriminator Loss: 1.0813... Generator Loss: 0.9304
Epoch 3/3... Discriminator Loss: 1.0675... Generator Loss: 0.9816
Epoch 3/3... Discriminator Loss: 1.0257... Generator Loss: 1.1858
Epoch 3/3... Discriminator Loss: 1.1238... Generator Loss: 0.8657
Epoch 3/3... Discriminator Loss: 1.0881... Generator Loss: 0.9810
Epoch 3/3... Discriminator Loss: 1.3620... Generator Loss: 1.0400
Epoch 3/3... Discriminator Loss: 1.1269... Generator Loss: 0.9542
Epoch 3/3... Discriminator Loss: 1.0381... Generator Loss: 0.9846
Epoch 3/3... Discriminator Loss: 1.2648... Generator Loss: 0.5056
Epoch 3/3... Discriminator Loss: 1.2585... Generator Loss: 0.7701
Epoch 3/3... Discriminator Loss: 1.2636... Generator Loss: 1.4286
Epoch 3/3... Discriminator Loss: 1.1706... Generator Loss: 0.6679
Epoch 3/3... Discriminator Loss: 1.1877... Generator Loss: 0.7336
Epoch 3/3... Discriminator Loss: 1.2225... Generator Loss: 1.2058
Epoch 3/3... Discriminator Loss: 1.1603... Generator Loss: 0.6162
Epoch 3/3... Discriminator Loss: 1.2971... Generator Loss: 0.6129
Epoch 3/3... Discriminator Loss: 1.2144... Generator Loss: 0.8055
Epoch 3/3... Discriminator Loss: 1.0890... Generator Loss: 1.5307
Epoch 3/3... Discriminator Loss: 1.2153... Generator Loss: 1.5664
Epoch 3/3... Discriminator Loss: 0.9531... Generator Loss: 1.5838
Epoch 3/3... Discriminator Loss: 0.7336... Generator Loss: 1.3548
Epoch 3/3... Discriminator Loss: 1.1299... Generator Loss: 1.3180
Epoch 3/3... Discriminator Loss: 1.2655... Generator Loss: 1.1970
Epoch 3/3... Discriminator Loss: 1.1456... Generator Loss: 0.8329
Epoch 3/3... Discriminator Loss: 0.9283... Generator Loss: 1.0842
Epoch 3/3... Discriminator Loss: 1.2091... Generator Loss: 0.6198
Epoch 3/3... Discriminator Loss: 1.0401... Generator Loss: 1.0811
Epoch 3/3... Discriminator Loss: 1.1686... Generator Loss: 0.9553
Epoch 3/3... Discriminator Loss: 1.2453... Generator Loss: 0.6124
Epoch 3/3... Discriminator Loss: 1.1946... Generator Loss: 0.5793
Epoch 3/3... Discriminator Loss: 1.4229... Generator Loss: 0.4396
Epoch 3/3... Discriminator Loss: 0.8960... Generator Loss: 1.4785
Epoch 3/3... Discriminator Loss: 1.3503... Generator Loss: 0.4391
Epoch 3/3... Discriminator Loss: 1.0923... Generator Loss: 1.1617
Epoch 3/3... Discriminator Loss: 1.2283... Generator Loss: 1.0267
Epoch 3/3... Discriminator Loss: 0.9001... Generator Loss: 1.1909
Epoch 3/3... Discriminator Loss: 1.0557... Generator Loss: 0.8213
Epoch 3/3... Discriminator Loss: 1.3502... Generator Loss: 0.4722
Epoch 3/3... Discriminator Loss: 1.1729... Generator Loss: 1.3241
Epoch 3/3... Discriminator Loss: 1.1143... Generator Loss: 0.7822
Epoch 3/3... Discriminator Loss: 1.2210... Generator Loss: 0.5502
Epoch 3/3... Discriminator Loss: 1.1473... Generator Loss: 0.7742
Epoch 3/3... Discriminator Loss: 1.3618... Generator Loss: 0.4523
Epoch 3/3... Discriminator Loss: 1.2680... Generator Loss: 0.6510
Epoch 3/3... Discriminator Loss: 1.0388... Generator Loss: 0.9817
Epoch 3/3... Discriminator Loss: 1.4890... Generator Loss: 0.4500
Epoch 3/3... Discriminator Loss: 1.2971... Generator Loss: 0.5886
Epoch 3/3... Discriminator Loss: 1.1411... Generator Loss: 0.8616
Epoch 3/3... Discriminator Loss: 1.1947... Generator Loss: 0.8090
Epoch 3/3... Discriminator Loss: 1.2792... Generator Loss: 0.6559
Epoch 3/3... Discriminator Loss: 0.9113... Generator Loss: 1.6603
Epoch 3/3... Discriminator Loss: 0.8235... Generator Loss: 2.2107
Epoch 3/3... Discriminator Loss: 1.2127... Generator Loss: 0.7105
Epoch 3/3... Discriminator Loss: 1.4537... Generator Loss: 2.2652
Epoch 3/3... Discriminator Loss: 0.8108... Generator Loss: 0.8035
Epoch 3/3... Discriminator Loss: 1.9619... Generator Loss: 0.2120
Epoch 3/3... Discriminator Loss: 2.2240... Generator Loss: 0.1690
Epoch 3/3... Discriminator Loss: 1.5337... Generator Loss: 0.3751
Epoch 3/3... Discriminator Loss: 0.7796... Generator Loss: 1.0476
Epoch 3/3... Discriminator Loss: 1.1974... Generator Loss: 0.8028
Epoch 3/3... Discriminator Loss: 1.0247... Generator Loss: 0.7633
Epoch 3/3... Discriminator Loss: 0.5942... Generator Loss: 1.5926
Epoch 3/3... Discriminator Loss: 0.7892... Generator Loss: 1.0966
Epoch 3/3... Discriminator Loss: 1.4586... Generator Loss: 0.3717
Epoch 3/3... Discriminator Loss: 0.4679... Generator Loss: 2.4396
Epoch 3/3... Discriminator Loss: 1.2281... Generator Loss: 0.7527
Epoch 3/3... Discriminator Loss: 0.7430... Generator Loss: 1.4803
Epoch 3/3... Discriminator Loss: 1.5372... Generator Loss: 0.3514
Epoch 3/3... Discriminator Loss: 1.1910... Generator Loss: 0.6094
Epoch 3/3... Discriminator Loss: 1.0418... Generator Loss: 1.1082
Epoch 3/3... Discriminator Loss: 1.0646... Generator Loss: 0.8408
Epoch 3/3... Discriminator Loss: 1.0551... Generator Loss: 0.8346
Epoch 3/3... Discriminator Loss: 1.0120... Generator Loss: 0.8480
Epoch 3/3... Discriminator Loss: 1.0200... Generator Loss: 1.1655
Epoch 3/3... Discriminator Loss: 1.0042... Generator Loss: 0.8797
Epoch 3/3... Discriminator Loss: 1.1811... Generator Loss: 0.8662
Epoch 3/3... Discriminator Loss: 1.1799... Generator Loss: 0.7418
Epoch 3/3... Discriminator Loss: 1.2733... Generator Loss: 0.5898
Epoch 3/3... Discriminator Loss: 1.0608... Generator Loss: 0.8350
Epoch 3/3... Discriminator Loss: 1.2405... Generator Loss: 0.5323
Epoch 3/3... Discriminator Loss: 1.2436... Generator Loss: 0.9412
Epoch 3/3... Discriminator Loss: 1.2060... Generator Loss: 0.8902
Epoch 3/3... Discriminator Loss: 1.3895... Generator Loss: 1.0329
Epoch 3/3... Discriminator Loss: 1.0051... Generator Loss: 0.7641
Epoch 3/3... Discriminator Loss: 1.5639... Generator Loss: 0.3398
Epoch 3/3... Discriminator Loss: 1.0586... Generator Loss: 0.8613
Epoch 3/3... Discriminator Loss: 1.0689... Generator Loss: 0.8182
Epoch 3/3... Discriminator Loss: 1.4028... Generator Loss: 0.5532
Epoch 3/3... Discriminator Loss: 1.2872... Generator Loss: 0.6945
Epoch 3/3... Discriminator Loss: 1.0504... Generator Loss: 1.1089
Epoch 3/3... Discriminator Loss: 1.1528... Generator Loss: 0.6342
Epoch 3/3... Discriminator Loss: 1.0787... Generator Loss: 1.1202
Epoch 3/3... Discriminator Loss: 1.0307... Generator Loss: 0.8484
Epoch 3/3... Discriminator Loss: 1.4222... Generator Loss: 0.4615
Epoch 3/3... Discriminator Loss: 1.3301... Generator Loss: 0.6422
Epoch 3/3... Discriminator Loss: 1.2672... Generator Loss: 0.7732
Epoch 3/3... Discriminator Loss: 0.9722... Generator Loss: 0.9128
Epoch 3/3... Discriminator Loss: 1.0358... Generator Loss: 1.1941
Epoch 3/3... Discriminator Loss: 1.2683... Generator Loss: 0.5301
Epoch 3/3... Discriminator Loss: 1.0963... Generator Loss: 1.4035
Epoch 3/3... Discriminator Loss: 1.2583... Generator Loss: 0.7532
Epoch 3/3... Discriminator Loss: 1.2207... Generator Loss: 1.4563
Epoch 3/3... Discriminator Loss: 1.8119... Generator Loss: 0.2792
Epoch 3/3... Discriminator Loss: 1.0258... Generator Loss: 1.1918
Epoch 3/3... Discriminator Loss: 1.5075... Generator Loss: 0.3470
Epoch 3/3... Discriminator Loss: 0.9150... Generator Loss: 1.3189
Epoch 3/3... Discriminator Loss: 1.0037... Generator Loss: 0.8291
Epoch 3/3... Discriminator Loss: 1.0985... Generator Loss: 0.8331
Epoch 3/3... Discriminator Loss: 1.3878... Generator Loss: 0.4239
Epoch 3/3... Discriminator Loss: 1.1783... Generator Loss: 0.9902
Epoch 3/3... Discriminator Loss: 1.1837... Generator Loss: 0.6613
Epoch 3/3... Discriminator Loss: 1.3793... Generator Loss: 0.4199
Epoch 3/3... Discriminator Loss: 1.0172... Generator Loss: 1.0787
Epoch 3/3... Discriminator Loss: 1.4675... Generator Loss: 0.4209
Epoch 3/3... Discriminator Loss: 1.3386... Generator Loss: 0.5652
Epoch 3/3... Discriminator Loss: 0.8124... Generator Loss: 1.5363
Epoch 3/3... Discriminator Loss: 1.1428... Generator Loss: 1.5814
Epoch 3/3... Discriminator Loss: 0.9071... Generator Loss: 0.8213
Epoch 3/3... Discriminator Loss: 1.0435... Generator Loss: 0.8064
Epoch 3/3... Discriminator Loss: 1.2955... Generator Loss: 0.7667
Epoch 3/3... Discriminator Loss: 0.9081... Generator Loss: 1.3155
Epoch 3/3... Discriminator Loss: 0.7632... Generator Loss: 1.8615
Epoch 3/3... Discriminator Loss: 1.0245... Generator Loss: 0.8561
Epoch 3/3... Discriminator Loss: 1.2578... Generator Loss: 0.5835
Epoch 3/3... Discriminator Loss: 1.2481... Generator Loss: 0.5518
Epoch 3/3... Discriminator Loss: 1.2110... Generator Loss: 0.4819
Epoch 3/3... Discriminator Loss: 0.9437... Generator Loss: 0.8751
Epoch 3/3... Discriminator Loss: 0.6112... Generator Loss: 1.5287
Epoch 3/3... Discriminator Loss: 0.9217... Generator Loss: 0.8984
Epoch 3/3... Discriminator Loss: 1.6151... Generator Loss: 0.2745
Epoch 3/3... Discriminator Loss: 1.1167... Generator Loss: 0.7569
Epoch 3/3... Discriminator Loss: 1.2527... Generator Loss: 0.8255
Epoch 3/3... Discriminator Loss: 1.3021... Generator Loss: 0.5188
Epoch 3/3... Discriminator Loss: 1.0693... Generator Loss: 1.0957
Epoch 3/3... Discriminator Loss: 1.1190... Generator Loss: 0.7183
Epoch 3/3... Discriminator Loss: 1.1667... Generator Loss: 1.0592
Epoch 3/3... Discriminator Loss: 1.3196... Generator Loss: 0.6912
Epoch 3/3... Discriminator Loss: 1.0892... Generator Loss: 0.9107
Epoch 3/3... Discriminator Loss: 1.1645... Generator Loss: 0.8486
Epoch 3/3... Discriminator Loss: 1.3449... Generator Loss: 0.9726
Epoch 3/3... Discriminator Loss: 1.1290... Generator Loss: 0.5642
Epoch 3/3... Discriminator Loss: 1.0651... Generator Loss: 0.7268
Epoch 3/3... Discriminator Loss: 1.1505... Generator Loss: 0.8876
Epoch 3/3... Discriminator Loss: 1.1254... Generator Loss: 0.8341
Epoch 3/3... Discriminator Loss: 1.0491... Generator Loss: 0.8132
Epoch 3/3... Discriminator Loss: 1.3504... Generator Loss: 0.5183
Epoch 3/3... Discriminator Loss: 1.2092... Generator Loss: 0.6569
Epoch 3/3... Discriminator Loss: 0.9959... Generator Loss: 0.9430
Epoch 3/3... Discriminator Loss: 1.4449... Generator Loss: 3.1061
Epoch 3/3... Discriminator Loss: 0.8015... Generator Loss: 1.2243
Epoch 3/3... Discriminator Loss: 1.8247... Generator Loss: 2.3468
Epoch 3/3... Discriminator Loss: 1.3575... Generator Loss: 0.6581
Epoch 3/3... Discriminator Loss: 1.3205... Generator Loss: 0.7054
Epoch 3/3... Discriminator Loss: 0.9710... Generator Loss: 1.0890
Epoch 3/3... Discriminator Loss: 1.4388... Generator Loss: 0.5716
Epoch 3/3... Discriminator Loss: 1.1137... Generator Loss: 0.8127
Epoch 3/3... Discriminator Loss: 1.1723... Generator Loss: 0.6154
Epoch 3/3... Discriminator Loss: 0.9385... Generator Loss: 1.4372
Epoch 3/3... Discriminator Loss: 1.0056... Generator Loss: 1.0937
Epoch 3/3... Discriminator Loss: 0.8943... Generator Loss: 1.5808
Epoch 3/3... Discriminator Loss: 1.5555... Generator Loss: 1.9427
Epoch 3/3... Discriminator Loss: 0.8105... Generator Loss: 1.0452
Epoch 3/3... Discriminator Loss: 1.2709... Generator Loss: 0.5354
Epoch 3/3... Discriminator Loss: 1.4705... Generator Loss: 0.4418
Epoch 3/3... Discriminator Loss: 1.2482... Generator Loss: 0.6148
Epoch 3/3... Discriminator Loss: 0.9319... Generator Loss: 0.8915
Epoch 3/3... Discriminator Loss: 1.0482... Generator Loss: 1.0596
Epoch 3/3... Discriminator Loss: 1.1016... Generator Loss: 0.8569
Epoch 3/3... Discriminator Loss: 2.1881... Generator Loss: 0.1710
Epoch 3/3... Discriminator Loss: 1.2268... Generator Loss: 0.7687
Epoch 3/3... Discriminator Loss: 0.8855... Generator Loss: 1.0455
Epoch 3/3... Discriminator Loss: 1.3080... Generator Loss: 0.5407
Epoch 3/3... Discriminator Loss: 1.0419... Generator Loss: 0.9615
Epoch 3/3... Discriminator Loss: 0.7269... Generator Loss: 2.0824
Epoch 3/3... Discriminator Loss: 0.4892... Generator Loss: 2.4604
Epoch 3/3... Discriminator Loss: 1.2202... Generator Loss: 0.7328
Epoch 3/3... Discriminator Loss: 1.1609... Generator Loss: 1.0197
Epoch 3/3... Discriminator Loss: 1.3169... Generator Loss: 0.6829
Epoch 3/3... Discriminator Loss: 1.2950... Generator Loss: 0.5386
Epoch 3/3... Discriminator Loss: 0.9680... Generator Loss: 1.5706
Epoch 3/3... Discriminator Loss: 0.7370... Generator Loss: 1.0849
Epoch 3/3... Discriminator Loss: 0.3210... Generator Loss: 1.8915
Epoch 3/3... Discriminator Loss: 2.7828... Generator Loss: 0.0840
Epoch 3/3... Discriminator Loss: 1.7463... Generator Loss: 0.2559
Epoch 3/3... Discriminator Loss: 0.8697... Generator Loss: 0.7657
Epoch 3/3... Discriminator Loss: 1.6745... Generator Loss: 0.2966
Epoch 3/3... Discriminator Loss: 1.1234... Generator Loss: 0.5691
Epoch 3/3... Discriminator Loss: 1.0543... Generator Loss: 1.1063
Epoch 3/3... Discriminator Loss: 1.2679... Generator Loss: 0.5870
Epoch 3/3... Discriminator Loss: 1.0631... Generator Loss: 0.8398
Epoch 3/3... Discriminator Loss: 1.0371... Generator Loss: 1.0869
Epoch 3/3... Discriminator Loss: 1.2490... Generator Loss: 0.5940
Epoch 3/3... Discriminator Loss: 1.1934... Generator Loss: 0.7534
Epoch 3/3... Discriminator Loss: 0.9633... Generator Loss: 0.9984
Epoch 3/3... Discriminator Loss: 1.0332... Generator Loss: 0.8668
Epoch 3/3... Discriminator Loss: 1.1878... Generator Loss: 0.6335
Epoch 3/3... Discriminator Loss: 0.9320... Generator Loss: 0.8692
Epoch 3/3... Discriminator Loss: 0.5971... Generator Loss: 1.6516
Epoch 3/3... Discriminator Loss: 0.7546... Generator Loss: 1.3255
Epoch 3/3... Discriminator Loss: 1.1855... Generator Loss: 1.0582
Epoch 3/3... Discriminator Loss: 1.1911... Generator Loss: 0.8351
Epoch 3/3... Discriminator Loss: 1.0430... Generator Loss: 0.7371
Epoch 3/3... Discriminator Loss: 1.2366... Generator Loss: 1.1486
Epoch 3/3... Discriminator Loss: 0.9940... Generator Loss: 0.8212
Epoch 3/3... Discriminator Loss: 1.1312... Generator Loss: 1.2928
Epoch 3/3... Discriminator Loss: 0.9976... Generator Loss: 0.7197
Epoch 3/3... Discriminator Loss: 0.7983... Generator Loss: 1.4068
Epoch 3/3... Discriminator Loss: 1.0863... Generator Loss: 0.8702
Epoch 3/3... Discriminator Loss: 1.1736... Generator Loss: 0.8680
Epoch 3/3... Discriminator Loss: 1.2007... Generator Loss: 0.8821
Epoch 3/3... Discriminator Loss: 1.1498... Generator Loss: 0.7882
Epoch 3/3... Discriminator Loss: 1.1612... Generator Loss: 0.8972
Epoch 3/3... Discriminator Loss: 1.1237... Generator Loss: 0.7645
Epoch 3/3... Discriminator Loss: 1.1236... Generator Loss: 0.6836
Epoch 3/3... Discriminator Loss: 1.1783... Generator Loss: 0.7693
Epoch 3/3... Discriminator Loss: 1.0327... Generator Loss: 0.7807
Epoch 3/3... Discriminator Loss: 1.1833... Generator Loss: 0.6353
Epoch 3/3... Discriminator Loss: 1.1648... Generator Loss: 0.9396
Epoch 3/3... Discriminator Loss: 1.3534... Generator Loss: 0.5543
Epoch 3/3... Discriminator Loss: 1.2825... Generator Loss: 0.8043
Epoch 3/3... Discriminator Loss: 1.4615... Generator Loss: 0.4615
Epoch 3/3... Discriminator Loss: 1.0029... Generator Loss: 1.0159
Epoch 3/3... Discriminator Loss: 1.2612... Generator Loss: 0.5183
Epoch 3/3... Discriminator Loss: 1.2286... Generator Loss: 0.7294
Epoch 3/3... Discriminator Loss: 1.0732... Generator Loss: 1.3941
Epoch 3/3... Discriminator Loss: 1.1506... Generator Loss: 1.1306
Epoch 3/3... Discriminator Loss: 1.3137... Generator Loss: 0.6145
Epoch 3/3... Discriminator Loss: 1.0822... Generator Loss: 1.0050
Epoch 3/3... Discriminator Loss: 1.1434... Generator Loss: 0.6503
Epoch 3/3... Discriminator Loss: 1.2136... Generator Loss: 0.6716
Epoch 3/3... Discriminator Loss: 1.0814... Generator Loss: 1.1315
Epoch 3/3... Discriminator Loss: 1.2596... Generator Loss: 0.5790
Epoch 3/3... Discriminator Loss: 1.0129... Generator Loss: 0.6387
Epoch 3/3... Discriminator Loss: 0.8191... Generator Loss: 0.7980
Epoch 3/3... Discriminator Loss: 0.5092... Generator Loss: 2.8602
Epoch 3/3... Discriminator Loss: 0.9615... Generator Loss: 1.0855
Epoch 3/3... Discriminator Loss: 1.1693... Generator Loss: 0.6502
Epoch 3/3... Discriminator Loss: 1.0582... Generator Loss: 0.7221
Epoch 3/3... Discriminator Loss: 1.2398... Generator Loss: 1.2451
Epoch 3/3... Discriminator Loss: 1.0166... Generator Loss: 0.8272
Epoch 3/3... Discriminator Loss: 1.6455... Generator Loss: 0.3630
Epoch 3/3... Discriminator Loss: 1.2281... Generator Loss: 0.4635
Epoch 3/3... Discriminator Loss: 1.7689... Generator Loss: 0.2732
Epoch 3/3... Discriminator Loss: 1.2121... Generator Loss: 0.5337
Epoch 3/3... Discriminator Loss: 1.1839... Generator Loss: 0.7156
Epoch 3/3... Discriminator Loss: 1.1438... Generator Loss: 0.6563
Epoch 3/3... Discriminator Loss: 1.2513... Generator Loss: 0.5520
Epoch 3/3... Discriminator Loss: 1.2475... Generator Loss: 1.1240
Epoch 3/3... Discriminator Loss: 1.4716... Generator Loss: 0.4303
Epoch 3/3... Discriminator Loss: 1.0497... Generator Loss: 0.8478
Epoch 3/3... Discriminator Loss: 1.0758... Generator Loss: 0.7147
Epoch 3/3... Discriminator Loss: 1.2989... Generator Loss: 0.5535
Epoch 3/3... Discriminator Loss: 1.0056... Generator Loss: 0.9028
Epoch 3/3... Discriminator Loss: 0.5441... Generator Loss: 3.1850
Epoch 3/3... Discriminator Loss: 1.1865... Generator Loss: 0.6920
Epoch 3/3... Discriminator Loss: 1.2035... Generator Loss: 0.8223
Epoch 3/3... Discriminator Loss: 1.2733... Generator Loss: 0.7736
Epoch 3/3... Discriminator Loss: 1.3647... Generator Loss: 0.6602
Epoch 3/3... Discriminator Loss: 0.9027... Generator Loss: 0.9850
Epoch 3/3... Discriminator Loss: 1.2712... Generator Loss: 0.6283
Epoch 3/3... Discriminator Loss: 1.3791... Generator Loss: 0.5060
Epoch 3/3... Discriminator Loss: 1.0208... Generator Loss: 1.5482
Epoch 3/3... Discriminator Loss: 0.9505... Generator Loss: 0.8880
Epoch 3/3... Discriminator Loss: 1.2592... Generator Loss: 0.5492
Epoch 3/3... Discriminator Loss: 0.8805... Generator Loss: 1.1354
Epoch 3/3... Discriminator Loss: 1.0194... Generator Loss: 0.9530
Epoch 3/3... Discriminator Loss: 1.5796... Generator Loss: 0.3712
Epoch 3/3... Discriminator Loss: 1.2144... Generator Loss: 0.6542
Epoch 3/3... Discriminator Loss: 1.2600... Generator Loss: 0.9306
Epoch 3/3... Discriminator Loss: 1.8643... Generator Loss: 0.2975
Epoch 3/3... Discriminator Loss: 1.0757... Generator Loss: 0.6378
Epoch 3/3... Discriminator Loss: 0.9804... Generator Loss: 1.3437
Epoch 3/3... Discriminator Loss: 0.7188... Generator Loss: 1.0956
Epoch 3/3... Discriminator Loss: 0.9658... Generator Loss: 0.9521
Epoch 3/3... Discriminator Loss: 1.1890... Generator Loss: 0.9457
Epoch 3/3... Discriminator Loss: 1.1321... Generator Loss: 1.3246
Epoch 3/3... Discriminator Loss: 1.4500... Generator Loss: 0.4437
Epoch 3/3... Discriminator Loss: 1.1684... Generator Loss: 1.0428
Epoch 3/3... Discriminator Loss: 1.3771... Generator Loss: 0.6303
Epoch 3/3... Discriminator Loss: 1.1485... Generator Loss: 0.7881
Epoch 3/3... Discriminator Loss: 1.3044... Generator Loss: 0.6431
Epoch 3/3... Discriminator Loss: 0.9348... Generator Loss: 1.1307
Epoch 3/3... Discriminator Loss: 1.2041... Generator Loss: 0.6395
Epoch 3/3... Discriminator Loss: 1.2027... Generator Loss: 0.5315
Epoch 3/3... Discriminator Loss: 1.0573... Generator Loss: 0.7827
Epoch 3/3... Discriminator Loss: 1.0666... Generator Loss: 1.3678
Epoch 3/3... Discriminator Loss: 0.9987... Generator Loss: 0.6865
Epoch 3/3... Discriminator Loss: 3.3663... Generator Loss: 0.0495
Epoch 3/3... Discriminator Loss: 1.2359... Generator Loss: 1.3393
Epoch 3/3... Discriminator Loss: 1.2381... Generator Loss: 0.7021
Epoch 3/3... Discriminator Loss: 1.2428... Generator Loss: 1.3392
Epoch 3/3... Discriminator Loss: 1.5079... Generator Loss: 0.4871
Epoch 3/3... Discriminator Loss: 1.0325... Generator Loss: 0.7001

Submitting This Project

When submitting this project, make sure to run all the cells before saving the notebook. Save the notebook file as "dlnd_face_generation.ipynb" and save it as a HTML file under "File" -> "Download as". Include the "helper.py" and "problem_unittests.py" files in your submission.